{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# <font color=red >赛题的解读和数据的下载</font>---明白他有什么？他要你干什么？以及他的评判标准是什么？"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 第一个、赛题的数据\n",
    "数据的文件以及数据的说明\n",
    "\n",
    "\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 第二个、赛题数据的的特征表示\n",
    "\n",
    "![image.png](attachment:image.png)\n"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 第二个赛题的评估方式--rmse\n",
    "![image.png](attachment:image.png)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## <font color= red >赛题的理解分析</font>从数据的理解开始"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "test = pd.read_csv(\"DATA/test.csv\").set_index(\"ID\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "train = pd.read_csv(\"DATA/sales_train_v2.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>shop_id</th>\n",
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       "      <td>15.01.2013</td>\n",
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      "text/plain": [
       "         date  date_block_num  shop_id  item_id  item_price  item_cnt_day\n",
       "0  02.01.2013               0       59    22154      999.00           1.0\n",
       "1  03.01.2013               0       25     2552      899.00           1.0\n",
       "2  05.01.2013               0       25     2552      899.00          -1.0\n",
       "3  06.01.2013               0       25     2554     1709.05           1.0\n",
       "4  15.01.2013               0       25     2555     1099.00           1.0"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>shop_id</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>ID</th>\n",
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       "      <th>0</th>\n",
       "      <td>5</td>\n",
       "      <td>5037</td>\n",
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       "      <td>5320</td>\n",
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       "      <td>5233</td>\n",
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       "      <td>5232</td>\n",
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      "text/plain": [
       "    shop_id  item_id\n",
       "ID                  \n",
       "0         5     5037\n",
       "1         5     5320\n",
       "2         5     5233\n",
       "3         5     5232\n",
       "4         5     5268"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "test.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
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       "    <tr>\n",
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       "      <td>06.01.2013</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>2554</td>\n",
       "      <td>1709.05</td>\n",
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       "      <th>4</th>\n",
       "      <td>15.01.2013</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>2555</td>\n",
       "      <td>1099.00</td>\n",
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      ],
      "text/plain": [
       "         date  date_block_num  shop_id  item_id  item_price  item_cnt_day\n",
       "0  02.01.2013               0       59    22154      999.00           1.0\n",
       "1  03.01.2013               0       25     2552      899.00           1.0\n",
       "2  05.01.2013               0       25     2552      899.00          -1.0\n",
       "3  06.01.2013               0       25     2554     1709.05           1.0\n",
       "4  15.01.2013               0       25     2555     1099.00           1.0"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2935849 entries, 0 to 2935848\n",
      "Data columns (total 6 columns):\n",
      "date              object\n",
      "date_block_num    int64\n",
      "shop_id           int64\n",
      "item_id           int64\n",
      "item_price        float64\n",
      "item_cnt_day      float64\n",
      "dtypes: float64(2), int64(3), object(1)\n",
      "memory usage: 134.4+ MB\n"
     ]
    }
   ],
   "source": [
    "train.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 214200 entries, 0 to 214199\n",
      "Data columns (total 2 columns):\n",
      "shop_id    214200 non-null int64\n",
      "item_id    214200 non-null int64\n",
      "dtypes: int64(2)\n",
      "memory usage: 4.9 MB\n"
     ]
    }
   ],
   "source": [
    "## item_cnt_month\n",
    "test.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "item = pd.read_csv(\"DATA/item_categories.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 84 entries, 0 to 83\n",
      "Data columns (total 2 columns):\n",
      "item_category_name    84 non-null object\n",
      "item_category_id      84 non-null int64\n",
      "dtypes: int64(1), object(1)\n",
      "memory usage: 1.4+ KB\n"
     ]
    }
   ],
   "source": [
    "item.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "item1 = pd.read_csv(\"DATA/items.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 22170 entries, 0 to 22169\n",
      "Data columns (total 3 columns):\n",
      "item_name           22170 non-null object\n",
      "item_id             22170 non-null int64\n",
      "item_category_id    22170 non-null int64\n",
      "dtypes: int64(2), object(1)\n",
      "memory usage: 519.7+ KB\n"
     ]
    }
   ],
   "source": [
    "item1.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "shop = pd.read_csv(\"DATA/shops.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 60 entries, 0 to 59\n",
      "Data columns (total 2 columns):\n",
      "shop_name    60 non-null object\n",
      "shop_id      60 non-null int64\n",
      "dtypes: int64(1), object(1)\n",
      "memory usage: 1.0+ KB\n"
     ]
    }
   ],
   "source": [
    "shop.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas_profiling as ppf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
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       "        <p class=\"h4\">Dataset info</p>\n",
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       "            <tbody>\n",
       "            <tr>\n",
       "                <th>Number of variables</th>\n",
       "                <td>6 </td>\n",
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       "                <th>Number of observations</th>\n",
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       "                <td>134.4 MiB </td>\n",
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       "                <th>Average record size in memory</th>\n",
       "                <td>48.0 B </td>\n",
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       "        <p class=\"h4\">Variables types</p>\n",
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       "            <tbody>\n",
       "            <tr>\n",
       "                <th>Numeric</th>\n",
       "                <td>5 </td>\n",
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       "            <tr>\n",
       "                <th>Categorical</th>\n",
       "                <td>1 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Boolean</th>\n",
       "                <td>0 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Date</th>\n",
       "                <td>0 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Text (Unique)</th>\n",
       "                <td>0 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Rejected</th>\n",
       "                <td>0 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Unsupported</th>\n",
       "                <td>0 </td>\n",
       "            </tr>\n",
       "            </tbody>\n",
       "        </table>\n",
       "    </div>\n",
       "    <div class=\"col-md-12\" style=\"padding-left: 1em;\">\n",
       "        \n",
       "        <p class=\"h4\">Warnings</p>\n",
       "        <ul class=\"list-unstyled\"><li><a href=\"#pp_var_date\"><code>date</code></a> has a high cardinality: 1034 distinct values  <span class=\"label label-warning\">Warning</span></li><li><a href=\"#pp_var_date_block_num\"><code>date_block_num</code></a> has 115690 / 3.9% zeros <span class=\"label label-info\">Zeros</span></li><li><a href=\"#pp_var_item_cnt_day\"><code>item_cnt_day</code></a> is highly skewed (γ1 = 272.83)  <span class=\"label label-info\">Skewed</span></li><li>Dataset has 6 duplicate rows <span class=\"label label-warning\">Warning</span></li> </ul>\n",
       "    </div>\n",
       "</div>\n",
       "    <div class=\"row headerrow highlight\">\n",
       "        <h1>Variables</h1>\n",
       "    </div>\n",
       "    <div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_date\">date<br/>\n",
       "            <small>Categorical</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-3\">\n",
       "    <table class=\"stats \">\n",
       "        <tr class=\"alert\">\n",
       "            <th>Distinct count</th>\n",
       "            <td>1034</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <th>Unique (%)</th>\n",
       "            <td>0.0%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (%)</th>\n",
       "            <td>0.0%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (n)</th>\n",
       "            <td>0</td>\n",
       "        </tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-8103237331934023560\">\n",
       "    <table class=\"mini freq\">\n",
       "        <tr class=\"\">\n",
       "    <th>28.12.2013</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 0.3%\">\n",
       "            &nbsp;\n",
       "        </div>\n",
       "        9434\n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>29.12.2013</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 0.3%\">\n",
       "            &nbsp;\n",
       "        </div>\n",
       "        9335\n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>30.12.2014</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 0.3%\">\n",
       "            &nbsp;\n",
       "        </div>\n",
       "        9324\n",
       "    </td>\n",
       "</tr><tr class=\"other\">\n",
       "    <th>Other values (1031)</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 99.0%\">\n",
       "            2907756\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-8103237331934023560, #minifreqtable-8103237331934023560\"\n",
       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-8103237331934023560\">\n",
       "    \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">28.12.2013</td>\n",
       "        <td class=\"number\">9434</td>\n",
       "        <td class=\"number\">0.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">29.12.2013</td>\n",
       "        <td class=\"number\">9335</td>\n",
       "        <td class=\"number\">0.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">30.12.2014</td>\n",
       "        <td class=\"number\">9324</td>\n",
       "        <td class=\"number\">0.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">30.12.2013</td>\n",
       "        <td class=\"number\">9138</td>\n",
       "        <td class=\"number\">0.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">31.12.2014</td>\n",
       "        <td class=\"number\">8347</td>\n",
       "        <td class=\"number\">0.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">27.12.2014</td>\n",
       "        <td class=\"number\">8041</td>\n",
       "        <td class=\"number\">0.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">31.12.2013</td>\n",
       "        <td class=\"number\">7765</td>\n",
       "        <td class=\"number\">0.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">23.02.2013</td>\n",
       "        <td class=\"number\">7577</td>\n",
       "        <td class=\"number\">0.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">28.12.2014</td>\n",
       "        <td class=\"number\">7370</td>\n",
       "        <td class=\"number\">0.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">21.12.2013</td>\n",
       "        <td class=\"number\">6773</td>\n",
       "        <td class=\"number\">0.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"other\">\n",
       "        <td class=\"fillremaining\">Other values (1024)</td>\n",
       "        <td class=\"number\">2852745</td>\n",
       "        <td class=\"number\">97.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_date_block_num\">date_block_num<br/>\n",
       "            <small>Numeric</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-6\">\n",
       "    <div class=\"row\">\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "                <tr>\n",
       "                    <th>Distinct count</th>\n",
       "                    <td>34</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "\n",
       "        </div>\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "\n",
       "                <tr>\n",
       "                    <th>Mean</th>\n",
       "                    <td>14.57</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>33</td>\n",
       "                </tr>\n",
       "                <tr class=\"alert\">\n",
       "                    <th>Zeros (%)</th>\n",
       "                    <td>3.9%</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram-7114169058628009624\">\n",
       "    <img src=\"%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAAc9JREFUeJzt2z%2BO00AYh%2BHPEa2dPopvwSG4EzUl9%2BEQ3CJRDmCLgoKYArLNwk9ZxPpP9nnKWPJMpHk1Gltupmmaambn87n6vp97WDbudDrV8Xicdcx3s472W9u2VfXrD3ddt8QU2JBhGKrv%2B6d1M6dFAmmapqqquq57Fsj7j19efL%2Bvnz78l3mxbrd1M6dFAtmql8Yr3O3bLT0BWDOBQCAQCAQCgUAgEAgEHvM%2BAI%2BfX48dBAKBQCAQCAQCgUAgEAgEAoHgId6D/Ms3JHAPOwgEAoFAIBA8xBlkrXxfv30CWRkPHNZFIG%2BQne1%2BziAQ2EF4NY%2BwU9lBIBAIBAKBQCAQOKRzl7f6fsYOAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgW%2BWBqmqaqqhqG4dm1H9%2B/zT0dVuRPa%2BL2223dzGmRQMZxrKqqvu%2BXGJ4V23/%2B%2B7VxHGu/3883mapqpgWyvF6vdblcqm3bappm7uHZmGmaahzHOhwOtdvNeypYJBDYCod0CAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBIKfXaZTtmvukboAAAAASUVORK5CYII%3D\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-7114169058628009624,#minihistogram-7114169058628009624\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives-7114169058628009624\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-7114169058628009624\"\n",
       "                                                  aria-controls=\"quantiles-7114169058628009624\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram-7114169058628009624\" aria-controls=\"histogram-7114169058628009624\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common-7114169058628009624\" aria-controls=\"common-7114169058628009624\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme-7114169058628009624\" aria-controls=\"extreme-7114169058628009624\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
       "\n",
       "    </ul>\n",
       "\n",
       "    <div class=\"tab-content\">\n",
       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-7114169058628009624\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>1</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>7</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>14</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>23</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>31</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>33</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>33</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>16</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "            <div class=\"col-md-4 col-md-offset-2\">\n",
       "                <p class=\"h4\">Descriptive statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Standard deviation</th>\n",
       "                        <td>9.423</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>0.64674</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>-1.0829</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>14.57</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>8.119</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>0.20386</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>42775060</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>88.793</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>22.4 MiB</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-7114169058628009624\">\n",
       "            <img src=\"%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJzt3X90VPWd//FXzO%2BNzBAIJIykbKBCiQF2mbgYFKEgATQgxS7xYLOkxawpv4yBlV9rZakSBPxFAyhWpWutwS7G0kOgxC0NcAhKYoJAqXoqbYIkBBATkoUkxPv9g2%2BmDIkkYz9hmOT5OOeek7n3PZ/77qdX8/LOzWf8LMuyBAAAAGNu8nYDAAAAnQ0BCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMC/B2A13BV199pZMnT6pbt27y8/PzdjsAAHQJlmXp/Pnzcjgcuumm63tPiYB1HZw8eVLR0dHebgMAgC6pvLxcffv2va7nJGBdB926dZN0%2Bf9gm83m5W4AAOgaampqFB0d7fo9fD0RsK6D5o8FbTYbAQsAgOvMG4/n8JA7AACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAzjy559XPyynd5uod2Knp7o7RYAALguuIMFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGMY6WEAnwZpoAHDj4A4WAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADDM6wErKytLfn5%2BysjIcO2rr6/XvHnzFBERobCwME2ZMkUnTpxwe19ZWZkmT56ssLAwRUREaP78%2BWpoaHCrKSgokNPpVEhIiPr376%2BXXnqpxfk3bNigmJgYhYSEyOl0au/evW7H29MLAADAlbwasA4ePKhNmzZp6NChbvszMjKUm5urnJwc7du3T7W1tUpKSlJTU5MkqampSffdd5/q6uq0b98%2B5eTkaOvWrVqwYIFrjOPHj%2Bvee%2B/VqFGjVFJSoqVLl2r%2B/PnaunWrq2bLli3KyMjQsmXLVFJSolGjRmnSpEkqKytrdy8AAABX87Msy/LGiWtrazV8%2BHBt2LBBTz31lP7pn/5JL7zwgqqrq9WrVy%2B98cYbSk5OliSdPHlS0dHRysvL04QJE7Rjxw4lJSWpvLxcDodDkpSTk6PU1FRVVVXJZrNp0aJF2rZtm44dO%2BY6Z3p6ug4dOqTCwkJJ0ogRIzR8%2BHBt3LjRVTN48GBNnTpVWVlZ7eqlPWpqamS321VdXS2bzWZk/prFL9tpdLyOVPT0RG%2B30KlxLQCAu478/dsWr93BmjNnju677z7dc889bvuLi4vV2NioxMRE1z6Hw6G4uDjt379fklRYWKi4uDhXuJKkCRMmqL6%2BXsXFxa6aK8dorikqKlJjY6MaGhpUXFzcoiYxMdF1nvb0AgAAcLUAb5w0JydHxcXFKioqanGssrJSQUFBCg8Pd9sfGRmpyspKV01kZKTb8fDwcAUFBV2zJjIyUpcuXdKZM2dkWZaampparblyjLZ6aU19fb3q6%2Btdr2tqar62FgAAdD7X/Q5WeXm5Hn30Ub355psKCQlp9/ssy5Kfn5/r9ZU/t7em%2BdPQtmpaG9uTmqysLNntdtcWHR19zfEAAEDnct0DVnFxsaqqquR0OhUQEKCAgAAVFBRo3bp1CggIUGRkpBoaGnTu3Dm391VVVbnuNkVFRbW4g3Tu3Dk1NjZes6aqqkoBAQHq2bOnIiIi5O/v32rNlWO01UtrlixZourqatdWXl7uwQwBAABfd90D1rhx43T48GGVlpa6tvj4eD300EOunwMDA5Wfn%2B96T0VFhY4cOaKRI0dKkhISEnTkyBFVVFS4anbt2qXg4GA5nU5XzZVjNNc0jx8UFCSn09miJj8/33Uep9PZZi%2BtCQ4Ols1mc9sAAEDXcd2fwerWrZvi4uLc9oWFhalnz56u/bNmzdKCBQvUs2dP9ejRQwsXLtSQIUNcD8QnJiYqNjZWKSkpWrNmjb744gstXLhQaWlprjCTnp6u7OxsZWZmKi0tTYWFhXr11Vf11ltvuc6bmZmplJQUxcfHKyEhQZs2bVJZWZnS09MlSXa7vc1eAAAAruaVh9zb8vzzzysgIEDTp0/XhQsXNG7cOG3evFn%2B/v6SJH9/f23fvl2zZ8/WnXfeqdDQUM2YMUNr1651jRETE6O8vDw99thjWr9%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%2BeroaHBraagoEBOp1MhISHq37%2B/XnrppRa9bNiwQTExMQoJCZHT6dTevXvdjrenFwAAgCt5JWD17dtXq1atUlFRkYqKijR27Fjdf//9Onr0qCQpIyNDubm5ysnJ0b59%2B1RbW6ukpCQ1NTVJkpqamnTfffeprq5O%2B/btU05OjrZu3aoFCxa4znH8%2BHHde%2B%2B9GjVqlEpKSrR06VLNnz9fW7duddVs2bJFGRkZWrZsmUpKSjRq1ChNmjRJZWVlrpq2egEAALian2VZlrebkKQePXpozZo1%2Bv73v69evXrpjTfeUHJysiTp5MmTio6OVl5eniZMmKAdO3YoKSlJ5eXlcjgckqScnBylpqaqqqpKNptNixYt0rZt23Ts2DHXOdLT03Xo0CEVFhZKkkaMGKHhw4dr48aNrprBgwdr6tSpysrKUnV1dZu9tEdNTY3sdruqq6tls9mMzFez%2BGU7jY7XkYqenujtFjo1rgU041oALuvI379t8fozWE1NTcrJyVFdXZ0SEhJUXFysxsZGJSYmumocDofi4uK0f/9%2BSVJhYaHi4uJc4UqSJkyYoPr6ehUXF7tqrhyjuaaoqEiNjY1qaGhQcXFxi5rExETXedrTS2vq6%2BtVU1PjtgEAgK7DawHr8OHDuvnmmxUcHKz09HTl5uYqNjZWlZWVCgoKUnh4uFt9ZGSkKisrJUmVlZWKjIx0Ox4eHq6goKBr1kRGRurSpUs6c%2BaMzpw5o6amplZrrhyjrV5ak5WVJbvd7tqio6M9mBkAAODrvBawBg0apNLSUh04cEA//vGPNXPmTP3xj3/82nrLsuTn5%2Bd6feXP7a1p/jS0rZrWxvakZsmSJaqurnZt5eXl1xwPAAB0Ll4LWEFBQfr2t7%2Bt%2BPh4ZWVladiwYXrxxRcVFRWlhoYGnTt3zq2%2BqqrKdbcpKiqqxR2kc%2BfOqbGx8Zo1VVVVCggIUM%2BePRURESF/f/9Wa64co61eWhMcHOz6C8nmDQAAdB0B3m6gmWVZqq%2Bvl9PpVGBgoPLz8zV9%2BnRJUkVFhY4cOaLVq1dLkhISEvT000%2BroqJCffr0kSTt2rVLwcHBcjqdrprf/va3bufYtWuX4uPjFRgYKElyOp3Kz8/X9773PVdNfn6%2B7r//ftfxtnpB5%2BVLDwoDAG4sXglYS5cu1aRJkxQdHa3z588rJydHf/jDH7Rz507Z7XbNmjVLCxYsUM%2BePdWjRw8tXLhQQ4YM0T333CPp8oPosbGxSklJ0Zo1a/TFF19o4cKFSktLc90tSk9PV3Z2tjIzM5WWlqbCwkK9%2Buqreuutt1x9ZGZmKiUlRfHx8UpISNCmTZtUVlam9PR0SWpXLwAAAFfzSsA6deqUUlJSVFFRIbvdrqFDh2rnzp0aP368JOn5559XQECApk%2BfrgsXLmjcuHHavHmz/P39JUn%2B/v7avn27Zs%2BerTvvvFOhoaGaMWOG1q5d6zpHTEyM8vLy9Nhjj2n9%2BvVyOBxat26dHnjgAVdNcnKyzp49qxUrVqiiokJxcXHKy8tTv379XDVt9YL2444QAKCruGHWwerMWAcLcMfaRx3Ll/69wLWAjtSl18ECAADobAhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDCPAtYvf/lLXbx4saN6AQAA6BQ8CliZmZmKiorSI488og8%2B%2BKCjegIAAPBpHgWskydP6rXXXlNFRYXuuusu3XbbbXr22Wd1%2BvTpjuoPAADA53gUsAICAjRt2jRt27ZNZWVlmjlzpl577TX17dtX06ZN0/bt28U37wAAgK7uGz/kHhUVpXHjxmnMmDHy8/NTUVGRZsyYoVtvvVV79%2B412SMAAIBP8ThgnTlzRi%2B88IKGDRumO%2B%2B8U1VVVXr33Xf117/%2BVZ9//rmSkpL0b//2bx3RKwAAgE8I8KT4e9/7nvLy8hQTE6OHH35YM2fOVK9evVzHb775Zj3%2B%2BONat26d8UYBAAB8hUcBy2az6b333tOoUaO%2BtqZPnz769NNP/%2B7GAAAAfJVHAesXv/hFmzV%2Bfn4aMGDAN24IAADA13n0DNZjjz2m7OzsFvvXr1%2BvBQsWGGsKAADAl3kUsH7961/rjjvuaLE/ISFBW7ZsMdYUAACAL/MoYJ05c0bh4eEt9ttsNp05c8ZYUwAAAL7Mo4A1YMAA/e53v2ux/3e/%2B51iYmKMNQUAAODLPHrIPSMjQxkZGTp79qzGjh0rSfrf//1frV69WmvXru2QBgEAAHyNRwErLS1NFy9e1MqVK/Xkk09Kkvr27at169bpRz/6UYc0CAAA4Gs8CliSNG/ePM2bN08VFRUKDQ1V9%2B7dO6IvAAAAn%2BVxwGrWp08fk30AAAB0Gh495H769Gn98Ic/1Le%2B9S2FhIQoKCjIbQMAAICHd7BSU1P15z//Wf/xH/%2BhPn36yM/Pr6P6AgAA8FkeBaw9e/Zoz549%2Bud//ueO6gcAAMDnefQRYd%2B%2BfblrBQAA0AaP7mA9//zzWrJkiV555RX17du3o3oC0MnFL9vp7RY8UvT0RG%2B3AMDHeBSwUlJSdP78efXr1082m02BgYFux6uqqow2BwA3Al8LhAC8z6OAtWrVqo7qAwAAoNPwKGDNmjWro/oAAADoNDx6yF2S/vKXv2j58uVKSUlxfSS4a9cuHTt2zHhzAAAAvsijgLV3717ddtttKigo0Ntvv63a2lpJ0ocffqif/OQnHdIgAACAr/EoYC1atEjLly/X7t273VZuHzt2rA4cOGC8OQAAAF/kUcD66KOP9P3vf7/F/t69e%2Bv06dPGmgIAAPBlHgWs7t27q7KyssX%2B0tJS3XLLLcaaAgAA8GUeBawHH3xQixcv1unTp10rur///vtauHChfvCDH3RIgwAAAL7Go4C1cuVKRUVFqU%2BfPqqtrVVsbKxGjhyp22%2B/XU888URH9QgAAOBTPFoHKygoSFu2bNEnn3yiDz/8UF999ZWGDx%2Bu73znOx3VHwAAgM/xKGA1GzhwoAYOHGi6FwAAgE7Bo4D17//%2B79c8vmnTpr%2BrGQBA1%2BJr3/PIF3%2BjvTwKWBUVFW6vGxsbdfToUZ0/f15333230cYAAAB8lUcB67e//W2LfZcuXdKPf/xjDR482FhTAAAAvszj7yK8WkBAgBYuXKg1a9aY6AcAAMDn/d0BS5I%2B%2B%2BwzNTY2mhgKAADA53n0EeHjjz/u9tqyLFVUVGjbtm166KGHjDYGAADgqzwKWIWFhW6vb7rpJvXq1UurVq1SWlqa0cYAAAB8lUcBa%2B/evR3VBwAAQKdh5BksAAAA/I1Hd7Buv/1215c8t%2BWDDz74Rg0BAAD4Oo8C1ne/%2B129/PLLGjhwoBISEiRJBw4c0Mcff6xHHnlEwcHBHdIkAADwnC%2BtlN/ZVsn3KGB9%2BeWXmjNnjlauXOm2f9myZTp16pR%2B/vOfG20OAADAF3n0DNbbb7%2BtH/7why32p6am6te//rWxpgAAAHyZRwErODhY%2B/fvb7F///79fDwIAADw/3n0EeH8%2BfOVnp6ukpIS3XHHHZIuP4P1yiuvaOnSpR3SIAAAgK/xKGAtW7ZMMTExevHFF/Xaa69JkgYPHqxXXnlFM2bM6JAGAQAAfI1HAUuSZsyYQZgCAAC4Bo8XGq2pqdHmzZv1k5/8ROfOnZMkHTp0SBUVFe0eIysrS7fffru6deum3r17a%2BrUqfr444/daurr6zVv3jxFREQoLCxMU6ZM0YkTJ9xqysrKNHnyZIWFhSkiIkLz589XQ0ODW01BQYGcTqdCQkLUv39/vfTSSy362bBhg2JiYhQSEiKn09lixfr29AIAANDMo4B15MgRDRw4UCtWrFBWVpYrYL399ttavHhxu8cpKCjQnDlzdODAAeXn5%2BvSpUtKTExUXV2dqyYjI0O5ubnKycnRvn37VFtbq6SkJDU1NUmSmpqadN9996murk779u1TTk6Otm7dqgULFrjGOH78uO69916NGjVKJSUlWrp0qebPn6%2BtW7e6arZs2aKMjAwtW7ZMJSUlGjVqlCZNmqSysrJ29wIAAHAlP8uyrPYWjx8/XkOGDNGzzz4rm82mQ4cOqX///tq/f78eeughHT9%2B/Bs1cfr0afXu3VsFBQW6%2B%2B67VV1drV69eumNN95QcnKyJOnkyZOKjo5WXl6eJkyYoB07digpKUnl5eVyOBySpJycHKWmpqqqqko2m02LFi3Stm3bdOzYMde50tPTdejQIdcXV48YMULDhw/Xxo0bXTWDBw/W1KlTlZWV1a5e2lJTUyO73a7q6mrZbLZvNEdfx5cWkQMAX%2Bdri2H60u%2BIjpjbjvz92xaP7mAdPHhQs2fPbvF1ObfccotHHxFerbq6WpLUo0cPSVJxcbEaGxuVmJjoqnE4HIqLi3MtE1FYWKi4uDhXuJKkCRMmqL6%2BXsXFxa6aK8dorikqKlJjY6MaGhpUXFzcoiYxMdF1nvb0crX6%2BnrV1NS4bQAAoOvwKGAFBQWptra2xf5PP/1UERER36gBy7KUmZmpu%2B66S3FxcZKkyspKBQUFKTw83K02MjJSlZWVrprIyEi34%2BHh4QoKCrpmTWRkpC5duqQzZ87ozJkzampqarXmyjHa6uVqWVlZstvtri06OtqTKQEAAD7Oo4A1ZcoU/fSnP9WlS5ckSX5%2Bfvr888%2B1ePFiTZs27Rs1MHfuXH300Ud666232qy1LMvt7llrXzzdVk3zJ6Jt1bT1pdbXqlmyZImqq6tdW3l5%2BTXHAgAAnYtHAevZZ5/VyZMnFRUVpQsXLmjs2LHq37%2B/QkJCWnw/YXvMmzdP27Zt0%2B7du9W3b1/X/qioKDU0NLgeom9WVVXlutsUFRXV4g7SuXPn1NjYeM2aqqoqBQQEqGfPnoqIiJC/v3%2BrNVeO0VYvVwsODpbNZnPbAABA1%2BFRwLLb7dq/f79%2B9atf6amnnlJaWpp%2B85vfaO/evbr55pvbPY5lWZo7d67eeecd/f73v1dMTIzbcafTqcDAQOXn57v2VVRU6MiRIxo5cqQkKSEhQUeOHHF79mvXrl0KDg6W0%2Bl01Vw5RnNNfHy8AgMDFRQUJKfT2aImPz/fdZ729AIAAHCldi802tjYqHvvvVcbNmxQYmJiiwfDPTFnzhz96le/0m9%2B8xt169bNdQfJbrcrNDRUdrtds2bN0oIFC9SzZ0/16NFDCxcu1JAhQ3TPPfdIuvwgemxsrFJSUrRmzRp98cUXWrhwodLS0lx3jNLT05Wdna3MzEylpaWpsLBQr776qtvHkZmZmUpJSVF8fLwSEhK0adMmlZWVKT093dVTW70AAABcqd0BKzAwUCUlJW0%2Bm9QezUsijBkzxm3/66%2B/rtTUVEnS888/r4CAAE2fPl0XLlzQuHHjtHnzZvn7%2B0uS/P39tX37ds2ePVt33nmnQkNDNWPGDK1du9Y1XkxMjPLy8vTYY49p/fr1cjgcWrdunR544AFXTXJyss6ePasVK1aooqJCcXFxysvLU79%2B/Vw1bfUCAABwJY/WwcrIyFBYWJiefvrpjuyp02EdLADoHFgHq%2BN0tnWwPP4uwuzsbL333nuKj49XWFiY27HVq1cbawwAAMBXeRSwiouLNXToUEnSRx995HbMxEeHAAAAnUG7AtZnn32mmJiYFl%2BCDAAAgJbatUzDrbfeqtOnT7teJycn69SpUx3WFAAAgC9rV8C6%2Bjn4vLw81dXVdUhDAAAAvs6jhUYBAADQtnYFLD8/vxYPsfNQOwAAQOva9ZC7ZVlKTU1VcHCwJOnixYtKT09vsUzDO%2B%2B8Y75DAAAAH9OugDVz5ky31z/4wQ86pBkAAIDOoF0B6/XXX%2B/oPgAAADoNHnIHAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADGvXOlgAAECKX7bT2y3AR3AHCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgmFcC1p49ezR58mQ5HA75%2Bfnp3XffdTtuWZaWL18uh8Oh0NBQjRkzRkePHnWrOXfunFJSUmS322W325WSkqIvv/zSrebw4cMaPXq0QkNDdcstt2jFihWyLMutZuvWrYqNjVVwcLBiY2OVm5vrcS8AAABX8krAqqur07Bhw5Sdnd3q8dWrV%2Bu5555Tdna2Dh48qKioKI0fP17nz5931cyYMUOlpaXauXOndu7cqdLSUqWkpLiO19TUaPz48XI4HDp48KB%2B9rOfae3atXruuedcNYWFhUpOTlZKSooOHTqklJQUTZ8%2BXe%2B//75HvQAAAFzJz7r6ls71bsDPT7m5uZo6daqky3eMHA6HMjIytGjRIklSfX29IiMj9cwzz%2BiRRx7RsWPHFBsbqwMHDmjEiBGSpAMHDighIUF/%2BtOfNGjQIG3cuFFLlizRqVOnFBwcLElatWqVfvazn%2BnEiRPy8/NTcnKyampqtGPHDlc/EydOVHh4uN5666129dIeNTU1stvtqq6uls1mMzZ3khS/bKfR8QAA8IaipycaH7Mjf/%2B25YZ7Buv48eOqrKxUYmKia19wcLBGjx6t/fv3S7p858lut7vClSTdcccdstvtbjWjR492hStJmjBhgk6ePKm//OUvrporz9Nc0zxGe3oBAAC42g0XsCorKyVJkZGRbvsjIyNdxyorK9W7d%2B8W7%2B3du7dbTWtjXHmOr6u58nhbvbSmvr5eNTU1bhsAAOg6briA1czPz8/ttWVZbvuuPt6emuZPQ9uquXpfe2qulJWV5Xr43m63Kzo6%2BmtrAQBA53PDBayoqChJanGHqKqqynUnKSoqSqdOnWrx3tOnT7vVtDaGpDZrrjzeVi%2BtWbJkiaqrq11beXn5Nf4XAwCAzuaGC1gxMTGKiopSfn6%2Ba19DQ4MKCgo0cuRISVJCQoKqq6v1wQcfuGref/99VVdXu9Xs2bNHDQ0Nrppdu3bJ4XDoH//xH101V56nuaZ5jPb00prg4GDZbDa3DQAAdB1eCVi1tbUqLS1VaWmppMsPk5eWlqqsrEx%2Bfn7KyMjQypUrlZubqyNHjig1NVX/8A//oBkzZkiSBg8erIkTJyotLU0HDhzQgQMHlJaWpqSkJA0aNEjS5WUcgoODlZqaqiNHjig3N1crV65UZmam6%2BO9Rx99VLt27dIzzzyjP/3pT3rmmWf03nvvKSMjQ5La1QsAAMDVArxx0qKiIn33u991vc7MzJQkzZw5U5s3b9bjjz%2BuCxcuaPbs2Tp37pxGjBihXbt2qVu3bq73vPnmm5o/f77rL/ymTJnitq6W3W5Xfn6%2B5syZo/j4eIWHhyszM9N1LkkaOXKkcnJy9J//%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%2B3BgAAbkAErHZ47rnnNGvWLD388MMaPHiwXnjhBUVHR2vjxo3ebg0AANyAArzdwI2uoaFBxcXFWrx4sdv%2BxMRE7d%2B/v9X31NfXq76%2B3vW6urpaklRTU2O8v6b6OuNjAgBwvXXE78jmMS3LMj52WwhYbThz5oyampoUGRnptj8yMlKVlZWtvicrK0v/9V//1WJ/dHR0h/QIAICvsz/bcWOfP39edru9407QCgJWO/n5%2Bbm9tiyrxb5mS5YsUWZmpuv1V199pS%2B%2B%2BEI9e/b82vd8EzU1NYqOjlZ5eblsNpuxcX0N83AZ83AZ83AZ83AZ8/A3XXEuLMvS%2BfPn5XA4rvu5CVhtiIiIkL%2B/f4u7VVVVVS3uajULDg5WcHCw277u3bt3WI82m63L/MNyLczDZczDZczDZczDZczD33S1ubjed66a8ZB7G4KCguR0OpWfn%2B%2B2Pz8/XyNHjvRSVwAA4EbGHax2yMzMVEpKiuLj45WQkKBNmzaprKxM6enp3m4NAADcgPyXL1%2B%2B3NtN3Oji4uLUs2dPrVy5UmvXrtWFCxf0xhtvaNiwYd5uTf7%2B/hozZowCArp2VmYeLmMeLmMeLmMeLmMe/oa5uH78LG/87SIAAEAnxjNYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyA5aM2bNigmJgYhYSEyOl0au/evd5u6bpbvny5/Pz83LaoqChvt9Xh9uzZo8mTJ8vhcMjPz0/vvvuu23HLsrR8%2BXI5HA6FhoZqzJgxOnr0qJe67ThtzUNqamqL6%2BOOO%2B7wUrcdJysrS7fffru6deum3r17a%2BrUqfr444/daurr6zVv3jxFREQoLCxMU6ZM0YkTJ7zUccdozzyMGTOmxTXx4IMPeqnjjrFx40YNHTrUtZhoQkKCduzY4TreFa6FGwUBywdt2bJFGRkZWrZsmUpKSjRq1ChNmjRJZWVl3m7turvttttUUVHh2g4fPuztljpcXV2dhg0bpuzs7FaPr169Ws8995yys7N18OBBRUVFafz48Tp//vx17rRjtTUPkjRx4kS36yMvL%2B86dnh9FBQUaM6cOTpw4IDy8/N16dIlJSYmqq7ub18En5GRodzcXOXk5Gjfvn2qra1VUlKSmpqavNi5We2ZB0lKS0tzuyZefvllL3XcMfr27atVq1apqKhIRUVFGjt2rO6//37Xf2R1hWvhhmHB5/zLv/yLlZ6e7rbvO9/5jrV48WIvdeQdTz75pDVs2DBvt%2BFVkqzc3FzX66%2B%2B%2BsqKioqyVq1a5dp38eJFy263Wy%2B99JI3Wrwurp4Hy7KsmTNnWvfff7%2BXOvKeqqoqS5JVUFBgWZZlffnll1ZgYKCVk5Pjqvn888%2Btm266ydq5c6e32uxwV8%2BDZVnW6NGjrUcffdSLXXlHeHi49fOf/7zLXgvewh0sH9PQ0KDi4mIlJia67U9MTNT%2B/fu91JX3fPrpp3I4HIqJidGDDz6ozz77zNstedXx48dVWVnpdn0EBwdr9OjRXfL6%2BMMf/qDevXtr4MCBSktLU1VVlbdb6nDV1dWSpB49ekiSiouL1djY6HZNOBwOxcXFdepr4up5aPbmm28qIiJCt912mxYuXNjp7uxeqampSTk5Oaqrq1NCQkKXvRa8haVcfcyZM2fU1NTU4oumIyMjW3whdWc3YsQI/fd//7cGDhyoU6dO6amnntLIkSN19OhR9ezZ09vteUXzNdDa9fHXv/7VGy15zaRJk/Sv//qv6tevn44fP64nnnhCY8eOVXFxcYsvY%2B8sLMtSZmam7rrrLsXFxUm6fE0EBQUpPDzcrbYz/zujtXmQpIceekgxMTGKiorSkSNHtGTJEh06dKjFd836usOHDyshIUEXL17UzTffrNzcXMXGxqq0tLTLXQveRMDyUX5%2Bfm6vLctqsa%2BzmzRpkuvnIUOGKCEhQQMGDNAvfvELZWZmerEz7%2BP6kJKTk10/x8XFKT4%2BXv369dP27ds1bdo0L3bWcebOnauPPvpI%2B/bta7O2M18TXzcPaWlprp/j4uJ06623Kj4%2BXh9%2B%2BKGGDx9%2BvdvsMIMGDVJpaam%2B/PJLbd26VTNnzlRBQcHX1nfma8Gb%2BIjQx0RERMjf37/Ff21UVVW1uGvR1YSFhWnIkCH69NNPvd2K1zT/FSXXR0t9%2BvRRv379Ou31MW/ePG3btk27d%2B9W3759XfujoqLU0NCgc%2BfOudV31mvi6%2BahNcOHD1dgYGCnuyaCgoL07W9/W/Hx8crKytKwYcP04osvdrlrwdsIWD4mKChITqezxS3t/Px8jRw50ktd3Rjq6%2Bt17Ngx9enTx9uteE3zxx9XXh8NDQ0qKCjo8tfH2bNnVV5e3umuD8uyNHfuXL3zzjv6/e9/r5iYGLfjTqdTgYGBbtdERUWFjhw50qmuibbmoTVHjx5VY2Njp7smrmZZlurr67vMtXCj8F%2B%2BfPlybzcBz9hsNj3xxBO65ZZbFBISopUrV2r37t16/fXX1b17d2%2B3d90sXLhQwcHBsixLn3zyiebOnatPPvlEL7/8cqeeh9raWv3xj39UZWWlXn75ZY0YMUKhoaFqaGhQ9%2B7d1dTUpKysLA0aNEhNTU1asGCBPv/8c23atKlTPXt0rXnw9/fX0qVL1a1bNzU1Nam0tFQPP/ywGhsblZ2d3anmYc6cOXrzzTf1P//zP3I4HKqtrVVtba38/f0VGBiokJAQnTx5UtnZ2Ro2bJiqq6uVnp6ubt266ZlnntFNN3WO/85uax7%2B/Oc/Kzs7W2FhYWpoaND%2B/fv18MMPKzo6Wj/96U87zTwsXbpUQUFBsixL5eXlWrdunX75y19q9erVio2N7RLXwg3DS3%2B9iL/T%2BvXrrX79%2BllBQUHW8OHD3f4UuatITk62%2BvTpYwUGBloOh8OaNm2adfToUW%2B31eF2795tSWqxzZw507Ksy0s1PPnkk1ZUVJQVHBxs3X333dbhw4e923QHuNY8/N///Z%2BVmJho9erVywoMDLS%2B9a1vWTNnzrTKysq83bZxrc2BJOv111931Vy4cMGaO3eu1aNHDys0NNRKSkrqdHPR1jyUlZVZd999t9WjRw8rKCjIGjBggDV//nzr7Nmz3m3csB/96Eeu3w29evWyxo0bZ%2B3atct1vCtcCzcKP8uyrOsZ6AAAADo77gcCAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADDs/wFpbcgvgnSIiAAAAABJRU5ErkJggg%3D%3D\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-7114169058628009624\">\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">11</td>\n",
       "        <td class=\"number\">143246</td>\n",
       "        <td class=\"number\">4.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:8%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">23</td>\n",
       "        <td class=\"number\">130786</td>\n",
       "        <td class=\"number\">4.5%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:8%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">121347</td>\n",
       "        <td class=\"number\">4.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0</td>\n",
       "        <td class=\"number\">115690</td>\n",
       "        <td class=\"number\">3.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">108613</td>\n",
       "        <td class=\"number\">3.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">7</td>\n",
       "        <td class=\"number\">104772</td>\n",
       "        <td class=\"number\">3.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">6</td>\n",
       "        <td class=\"number\">100548</td>\n",
       "        <td class=\"number\">3.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">5</td>\n",
       "        <td class=\"number\">100403</td>\n",
       "        <td class=\"number\">3.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">12</td>\n",
       "        <td class=\"number\">99349</td>\n",
       "        <td class=\"number\">3.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">10</td>\n",
       "        <td class=\"number\">96736</td>\n",
       "        <td class=\"number\">3.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"other\">\n",
       "        <td class=\"fillremaining\">Other values (24)</td>\n",
       "        <td class=\"number\">1814359</td>\n",
       "        <td class=\"number\">61.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme-7114169058628009624\">\n",
       "            <p class=\"h4\">Minimum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">0</td>\n",
       "        <td class=\"number\">115690</td>\n",
       "        <td class=\"number\">3.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:95%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">108613</td>\n",
       "        <td class=\"number\">3.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:89%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">121347</td>\n",
       "        <td class=\"number\">4.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">94109</td>\n",
       "        <td class=\"number\">3.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:77%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">91759</td>\n",
       "        <td class=\"number\">3.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:75%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "            <p class=\"h4\">Maximum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">29</td>\n",
       "        <td class=\"number\">54617</td>\n",
       "        <td class=\"number\">1.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:95%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">30</td>\n",
       "        <td class=\"number\">55549</td>\n",
       "        <td class=\"number\">1.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:97%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">31</td>\n",
       "        <td class=\"number\">57029</td>\n",
       "        <td class=\"number\">1.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">32</td>\n",
       "        <td class=\"number\">50588</td>\n",
       "        <td class=\"number\">1.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:88%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">33</td>\n",
       "        <td class=\"number\">53514</td>\n",
       "        <td class=\"number\">1.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:93%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_item_cnt_day\">item_cnt_day<br/>\n",
       "            <small>Numeric</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-6\">\n",
       "    <div class=\"row\">\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "                <tr>\n",
       "                    <th>Distinct count</th>\n",
       "                    <td>198</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "\n",
       "        </div>\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "\n",
       "                <tr>\n",
       "                    <th>Mean</th>\n",
       "                    <td>1.2426</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>-22</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>2169</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Zeros (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram-1044101914845464248\">\n",
       "    <img src=\"%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAAZxJREFUeJzt1zGO01AUhtHraFo7fRTvgkWwJ2pK9sMi2EWiLMAWBQV5FBCaQb80UvQ8Rue0lu59lt9XeGitterser3WPM%2B917Jzl8ulzudz150vXbf9MY5jVf1%2B4WmatjgCO7IsS83z/Pfe9LRJIMMwVFXVNE2vAvnw6eub5337/PEp5%2BJ9e9ybng7dN8KOCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAsHLFktba1VVtSzLq2c/f3x/87x/zeH/8fi%2Bj3vT0yaBrOtaVVXzPD9l3vHLU8bwzq3rWsfjsevOoW2Q5f1%2Br9vtVuM41jAMvdezM621Wte1TqdTHQ59/wo2CQT2wk86BAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAsEvUiRAcfImNfQAAAAASUVORK5CYII%3D\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-1044101914845464248,#minihistogram-1044101914845464248\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives-1044101914845464248\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-1044101914845464248\"\n",
       "                                                  aria-controls=\"quantiles-1044101914845464248\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram-1044101914845464248\" aria-controls=\"histogram-1044101914845464248\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common-1044101914845464248\" aria-controls=\"common-1044101914845464248\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme-1044101914845464248\" aria-controls=\"extreme-1044101914845464248\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
       "\n",
       "    </ul>\n",
       "\n",
       "    <div class=\"tab-content\">\n",
       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-1044101914845464248\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>-22</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>1</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>1</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>1</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>1</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>2</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>2169</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>2191</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "            <div class=\"col-md-4 col-md-offset-2\">\n",
       "                <p class=\"h4\">Descriptive statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Standard deviation</th>\n",
       "                        <td>2.6188</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>2.1075</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>177480</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>1.2426</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>0.44599</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"alert\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>272.83</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>3648200</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>6.8583</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>22.4 MiB</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-1044101914845464248\">\n",
       "            <img src=\"%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJzt3X9UFPe9//HXqrASKxsUYVm1huTmhwbrjZAqJkZrImpEa01vTEm40qZUGn%2BUoNdEbRNjT0VTY9toNGmaJmmbimkMqedEDXiToB7BHwgqxuTaqkEjiBpk1auA%2BPn%2B4dc5DGCgNwMIPh/nzDnuzHs/856Zw9mXM7OzLmOMEQAAABzTobUbAAAAaG8IWAAAAA4jYAEAADiMgAUAAOAwAhYAAIDDCFgAAAAOI2ABAAA4jIAFAADgMAIWAACAwwhYAAAADiNgAQAAOIyABQAA4DACFgAAgMMIWAAAAA4jYAEAADiMgAUAAOAwAhYAAIDDCFgAAAAOI2ABAAA4jIAFAADgMAIWAACAwwhYAAAADiNgAQAAOIyABQAA4DACFgAAgMMIWAAAAA4jYAEAADiMgAUAAOAwAhYAAIDDCFgAAAAOI2ABAAA4jIAFAADgMAIWAACAwwhYAAAADiNgAQAAOIyABQAA4DACFgAAgMMIWAAAAA7r1NoNXA8uXbqkY8eOqWvXrnK5XK3dDgAA1wVjjM6cOSOfz6cOHVr2nBIBqwUcO3ZMvXv3bu02AAC4Lh05ckS9evVq0XUSsFpA165dJV0%2BwMHBwa3cDQAA1we/36/evXtbn8MtiYDVAq5cFgwODiZgAQDQwlrj9hxucgcAAHCY4wFr5cqV%2Bta3vmWdrYmNjdX69eut5ZWVlZo%2BfbpCQ0PVpUsXjR8/XkePHrWNUVxcrHHjxqlLly4KDQ3VjBkzVFVVZavJyclRdHS0OnfurJtvvlkvv/xyvV5WrFihyMhIde7cWdHR0dq8ebNtuVO9AAAA1OZ4wOrVq5cWLVqknTt3aufOnRoxYoS%2B%2B93vat%2B%2BfZKk1NRUZWZmKiMjQ1u2bNHZs2cVHx%2BvmpoaSVJNTY3Gjh2rc%2BfOacuWLcrIyNCaNWs0c%2BZMax2HDh3Sgw8%2BqKFDh6qgoEBz587VjBkztGbNGqtm9erVSk1N1bx581RQUKChQ4dqzJgxKi4utmqc6AUAAKAe0wJCQkLMH/7wB3P69GkTEBBgMjIyrGVffPGF6dChg9mwYYMxxph169aZDh06mC%2B%2B%2BMKqWbVqlXG73aaiosIYY8zs2bPNHXfcYVvHlClTzODBg63X3/72t01KSoqt5o477jBPP/20McY41ktTVFRUGEn/0nsAAMDX05qfv816D1ZNTY0yMjJ07tw5xcbGKj8/X9XV1YqLi7NqfD6foqKitHXrVklSbm6uoqKi5PP5rJpRo0apsrJS%2Bfn5Vk3tMa7U7Ny5U9XV1aqqqlJ%2Bfn69mri4OGs9TvUCAABQV7N8i3Dv3r2KjY3VhQsX9I1vfEOZmZnq16%2BfCgsLFRgYqJCQEFt9eHi4SktLJUmlpaUKDw%2B3LQ8JCVFgYOBX1oSHh%2BvixYs6efKkjDGqqalpsKb2GE700pDKykpVVlZar/1%2B/1VrAQBA%2B9MsZ7Buv/12FRYWKi8vTz/96U81efJkffLJJ1etN8bYvkLZ0NcpG6sxxtSb31BNY1/V/L/0Uld6ero8Ho818ZBRAACuL80SsAIDA/Vv//ZviomJUXp6ugYMGKDf/e538nq9qqqqUnl5ua2%2BrKzMOlPk9XrrnR0qLy9XdXX1V9aUlZWpU6dO6t69u0JDQ9WxY8cGa2qP4UQvDZkzZ44qKiqs6ciRI1%2B5vwAAQPvSIs/BMsaosrJS0dHRCggIUHZ2trWspKRERUVFGjJkiCQpNjZWRUVFKikpsWqysrLkdrsVHR1t1dQe40pNTEyMAgICFBgYqOjo6Ho12dnZ1nqc6qUhbrfbekwFDxcFAOA65PRd83PmzDGbNm0yhw4dMnv27DFz5841HTp0MFlZWcYYY1JSUkyvXr3Mxo0bza5du8yIESPMgAEDzMWLF40xxly8eNFERUWZ%2B%2B%2B/3%2Bzatcts3LjR9OrVy0ybNs1ax8GDB80NN9xgnnzySfPJJ5%2BY1157zQQEBJh33nnHqsnIyDABAQHmtddeM5988olJTU01Xbp0MYcPH7ZqnOilKfgWIQAALa81P38dD1g/%2BtGPTJ8%2BfUxgYKDp0aOHuf/%2B%2B61wZYwx58%2BfN9OmTTPdunUzQUFBJj4%2B3hQXF9vG%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%2B%2B2517dpVYWFhmjBhgj777DNbzfDhw%2BVyuWzTI488YqspLy9XYmKiPB6PPB6PEhMTdfr0aVvN3r17NWzYMAUFBalnz55asGCBjDG2mjVr1qhfv35yu93q16%2BfMjMzbcuNMZo/f758Pp%2BCgoI0fPhw7du371/uBQAA4ArHA1ZOTo6mTp2qvLw8ZWdn6%2BLFi4qLi9O5c%2BdsdcnJySopKbGmV155xbY8ISFBhYWF2rBhgzZs2KDCwkIlJiZay/1%2Bv0aOHCmfz6cdO3Zo2bJlWrJkiZYuXWrV5ObmatKkSUpMTNTu3buVmJiohx9%2BWNu2bbNqnn/%2BeS1dulTLly/Xjh075PV6NXLkSJ05c6bJvQAAANTmMnVP%2BTjsxIkTCgsLU05Oju677z5Jl89g/fu//7t%2B%2B9vfNvie/fv3q1%2B/fsrLy9OgQYMkSXl5eYqNjdWnn36q22%2B/XStXrtScOXN0/Phxud1uSdKiRYu0bNkyHT16VC6XS5MmTZLf79f69eutsUePHq2QkBCtWrVKxhj5fD6lpqbqqaeekiRVVlYqPDxcixcv1pQpU5rUS2P8fr88Ho8qKioUHBz8f9%2BZDYiZt8HR8ZrTzl%2BNbu0WAADXkeb8/G1Ms9%2BDVVFRIUnq1q2bbf5bb72l0NBQ3XnnnZo1a5btjFFubq48Ho8VaCRp8ODB8ng82rp1q1UzbNgwK1xJ0qhRo3Ts2DEdPnzYqomLi7Otd9SoUdYYhw4dUmlpqa3G7XZr2LBhtvU01ktdlZWV8vv9tgkAAFw/OjXn4MYYpaWl6d5771VUVJQ1/9FHH1VkZKS8Xq%2BKioo0Z84c7d69W9nZ2ZKk0tJShYWF1RsvLCxMpaWlVs1NN91kWx4eHm4ti4yMVGlpqTWvdk3tMWq/r3bN559/3uRe6kpPT9dzzz3X8E4BAADtXrMGrGnTpmnPnj3asmWLbX5ycrL176ioKN16662KiYnRrl27NHDgQEmSy%2BWqN54xxja/bs2Vq52N1dSd11hNU3qpbc6cOUpLS7Ne%2B/1%2B9e7du8FaAADQ/jTbJcLp06dr7dq1%2Buijj9SrV6%2BvrB04cKACAgJ04MABSZLX69Xx48fr1Z04ccI62%2BT1euudQSorK5OkRmtqL5fUaE1jvdTldrsVHBxsmwAAwPXD8YBljNG0adP07rvv6sMPP1RkZGSj79m3b5%2Bqq6sVEREhSYqNjVVFRYW2b99u1Wzbtk0VFRUaMmSIVbNp0yZVVVVZNVlZWfL5fNalw9jYWOuyY%2B2aK2NcuUxZu6aqqko5OTm29TTWCwAAQG2OB6ypU6fqL3/5i/7617%2Bqa9euKi0tVWlpqc6fPy9J%2Buc//6kFCxZo586dOnz4sNatW6f/%2BI//0F133aV77rlHktS3b1%2BNHj1aycnJysvLU15enpKTkxUfH299ay8hIUFut1tJSUkqKipSZmamFi5cqLS0NOvS3c9%2B9jNlZWVp8eLF%2BvTTT7V48WJt3LhRqampki5f%2BktNTdXChQuVmZmpoqIiJSUl6YYbblBCQkKTewEAAKjN8cc0XO2%2BpNdff11JSUk6cuSIHnvsMRUVFens2bPq3bu3xo4dq2effdb2TcMvv/xSM2bM0Nq1ayVJ48eP1/Lly3XjjTdaNXv37tXUqVO1fft2hYSEKCUlRc8884yth3feeUc///nPdfDgQd1yyy361a9%2BpYkTJ1rLjTF67rnn9Morr6i8vFyDBg3SSy%2B9ZLspvym9fBUe03AZj2kAALSk1nxMQ7M/BwsErCsIWACAltSun4MFAABwvSFgAQAAOIyABQAA4DACFgAAgMMIWAAAAA4jYAEAADiMgAUAAOAwAhYAAIDDCFgAAAAOI2ABAAA4jIAFAADgMAIWAACAwwhYAAAADiNgAQAAOIyABQAA4DACFgAAgMMIWAAAAA4jYAEAADiMgAUAAOAwAhYAAIDDCFgAAAAOI2ABAAA4jIAFAADgMAIWAACAwwhYAAAADiNgAQAAOIyABQAA4DACFgAAgMMIWAAAAA4jYAEAADiMgAUAAOAwAhYAAIDDCFgAAAAOI2ABAAA4jIAFAADgMAIWAACAwwhYAAAADiNgAQAAOIyABQAA4DACFgAAgMMIWAAAAA5zPGClp6fr7rvvVteuXRUWFqYJEybos88%2Bs9VUVlZq%2BvTpCg0NVZcuXTR%2B/HgdPXrUVlNcXKxx48apS5cuCg0N1YwZM1RVVWWrycnJUXR0tDp37qybb75ZL7/8cr1%2BVqxYocjISHXu3FnR0dHavHlzs/QCAABwheMBKycnR1OnTlVeXp6ys7N18eJFxcXF6dy5c1ZNamqqMjMzlZGRoS1btujs2bOKj49XTU2NJKmmpkZjx47VuXPntGXLFmVkZGjNmjWaOXOmNcahQ4f04IMPaujQoSooKNDcuXM1Y8YMrVmzxqpZvXq1UlNTNW/ePBUUFGjo0KEaM2aMiouLHe0FAACgNpcxxjTnCk6cOKGwsDDl5OTovvvuU0VFhXr06KE///nPmjRpkiTp2LFj6t27t9atW6dRo0Zp/fr1io%2BP15EjR%2BTz%2BSRJGRkZSkpKUllZmYKDg/XUU09p7dq12r9/v7WulJQU7d69W7m5uZKkQYMGaeDAgVq5cqVV07dvX02YMEHp6emO9dIYv98vj8ejioqKJtX/K2LmbXB0vOa081ejW7sFAMB1pDk/fxvT7PdgVVRUSJK6desmScrPz1d1dbXi4uKsGp/Pp6ioKG3dulWSlJubq6ioKCvQSNKoUaNUWVmp/Px8q6b2GFdqdu7cqerqalVVVSk/P79eTVxcnLUep3qpq7KyUn6/3zYBAIDrR7MGLGOM0tLSdO%2B99yoqKkqSVFpaqsDAQIWEhNhqw8PDVVpaatWEh4fbloeEhCgwMPAra8LDw3Xx4kWdPHlSJ0%2BeVE1NTYM1tcdwope60tPT5fF4rKl3795fvaMAAEC70qwBa9q0adqzZ49WrVrVaK0xRi6Xy3pd%2B99NrblytbOxmobG/rq91DZnzhxVVFRY05EjR75yfQAAoH1ptoA1ffp0rV27Vh999JF69eplzfd6vaqqqlJ5ebmtvqyszDpT5PV6650dKi8vV3V19VfWlJWVqVOnTurevbtCQ0PVsWPHBmtqj%2BFEL3W53W4FBwfbJgAAcP1wPGAZYzRt2jS9%2B%2B67%2BvDDDxUZGWlbHh0drYCAAGVnZ1vzSkpKVFRUpCFDhkiSYmNjVVRUpJKSEqsmKytLbrdb0dHRVk3tMa7UxMTEKCAgQIGBgYqOjq5Xk52dba3HqV4AAABq6%2BT0gFOnTtVf//pX/f3vf1fXrl2tsz8ej0dBQUHyeDx6/PHHNXPmTHXv3l3dunXTrFmz1L9/fz3wwAOSLt%2BI3q9fPyUmJurXv/61vvzyS82aNUvJycnW2aCUlBQtX75caWlpSk5OVm5url577TXb5ci0tDQlJiYqJiZGsbGx%2Bv3vf6/i4mKlpKRYPTnRCwAAQG2OB6wrj0QYPny4bf7rr7%2BupKQkSdJvfvMbderUSQ8//LDOnz%2Bv%2B%2B%2B/X2%2B88YY6duwoSerYsaPef/99PfHEE7rnnnsUFBSkhIQELVmyxBovMjJS69at05NPPqmXXnpJPp9PL774oh566CGrZtKkSTp16pQWLFigkpISRUVFad26derTp49V40QvAAAAtTX7c7DAc7Cu4DlYAICW1K6fgwUAAHC9IWABAAA4jIAFAADgMAIWAACAwwhYAAAADiNgAQAAOIyABQAA4DBbwPrLX/6iCxcutFYvAAAA7YItYKWlpcnr9WrKlCnavn17a/UEAADQptkC1rFjx/THP/5RJSUluvfee3XnnXfqhRde0IkTJ1qrPwAAgDbHFrA6deqkiRMnau3atSouLtbkyZP1xz/%2BUb169dLEiRP1/vvvi1/WAQAA%2BGpXvcnd6/Xq/vvv1/Dhw%2BVyubRz504lJCTo1ltv1ebNm1uyRwAAgDalXsA6efKkfvvb32rAgAG65557VFZWpvfee0%2Bff/65vvjiC8XHx%2Bs///M/W6NXAACANqFT7Rff%2B973tG7dOkVGRurHP/6xJk%2BerB49eljLv/GNb2j27Nl68cUXW7xRAACAtsIWsIKDg7Vx40YNHTr0qm%2BIiIjQgQMHmr0xAACAtsoWsN58881G3%2BByuXTLLbc0W0MAAABtne0erCeffFLLly%2BvV/TSSy9p5syZLdYUAABAW2YLWH/72980ePDgekWxsbFavXp1izUFAADQltkC1smTJxUSElKvKDg4WCdPnmyxpgAAANoyW8C65ZZb9MEHH9Qr%2BuCDDxQZGdliTQEAALRltpvcU1NTlZqaqlOnTmnEiBGSpP/%2B7//W888/ryVLlrRKgwAAAG2NLWAlJyfrwoULWrhwoZ599llJUq9evfTiiy/qRz/6Uas0CAAA0NZ0qjtj%2BvTpmj59ukpKShQUFKQbb7yxNfoCAABos%2BoFrCsiIiJasg8AAIB2w3aT%2B4kTJ/TDH/5Q3/zmN9W5c2cFBgbaJgAAADTOdgYrKSlJ//znP/Vf//VfioiIkMvlaq2%2BAAAA2ixbwNq0aZM2bdqku%2B66q7X6AQAAaPNslwh79erFWSsAAICvyRawfvOb32jOnDk6evRoa/UDAADQ5tkuESYmJurMmTPq06ePgoODFRAQYCsuKytr0eYAAADaIlvAWrRoUWv1AQAA0G7YAtbjjz/eWn0AAAC0Gx3qzjh8%2BLDmz5%2BvxMRE65JgVlaW9u/f3%2BLNAQAAtEW2gLV582bdeeedysnJ0dtvv62zZ89Kknbt2qVnnnmmVRoEAABoa2wB66mnntL8%2BfP10Ucf2Z7cPmLECOXl5bV4cwAAAG2RLWDt2bNH3//%2B9%2BsVhYWF6cSJEy3WFAAAQFtmC1g33nijSktL6xUVFhaqZ8%2BeLdYUAABAW2YLWI888oiefvppnThxwnqi%2B7Zt2zRr1iw99thjrdIgAABAW2MLWAsXLpTX61VERITOnj2rfv36aciQIbr77rv1i1/8orV6BAAAaFNsz8EKDAzU6tWr9T//8z/atWuXLl26pIEDB%2BqOO%2B5orf4AAADanE4Nzbztttt02223tXQvAAAA7YLtEuFPfvKTr5yaYtOmTRo3bpx8Pp9cLpfee%2B892/KkpCS5XC7bNHjwYFtNZWWlpk%2BfrtDQUHXp0kXjx4%2Bv9wPUxcXFGjdunLp06aLQ0FDNmDFDVVVVtpqcnBxFR0erc%2BfOuvnmm/Xyyy/X63fFihWKjIxU586dFR0drc2bN//LvQAAANRmC1glJSW2qbi4WOvXr9fbb7/d4LcLG3Lu3DkNGDBAy5cvv2rN6NGjbetZt26dbXlqaqoyMzOVkZGhLVu26OzZs4qPj1dNTY0kqaamRmPHjtW5c%2Be0ZcsWZWRkaM2aNZo5c6Y1xqFDh/Tggw9q6NChKigo0Ny5czVjxgytWbPGqlm9erVSU1M1b948FRQUaOjQoRozZoyKi4ub3AsAAEBdLmOM%2BaqCixcv6qc//an69u2rtLS0f21wl0uZmZmaMGGCNS8pKUmnT5%2Bud2brioqKCvXo0UN//vOfNWnSJEnSsWPH1Lt3b61bt06jRo3S%2BvXrFR8fryNHjsjn80mSMjIylJSUpLKyMgUHB%2Bupp57S2rVrbT/xk5KSot27dys3N1eSNGjQIA0cOFArV660avr27asJEyYoPT29Sb00hd/vl8fjUUVFhYKDg/%2BFPdi4mHkbHB2vOe381ejWbgEAcB1pzs/fxtT7LcK6OnXqpFmzZunXv/61Yyv9%2BOOPFRYWpttuu03JycnWbx5KUn5%2BvqqrqxUXF2fN8/l8ioqK0tatWyVJubm5ioqKssKVJI0aNUqVlZXKz8%2B3amqPcaVm586dqq6uVlVVlfLz8%2BvVxMXFWetpSi8NqayslN/vt00AAOD60WjAkqSDBw%2BqurrakRWOGTNGb731lj788EO98MIL2rFjh0aMGKHKykpJUmlpqQIDAxUSEmJ7X3h4uHWZsrS0VOHh4bblISEhCgwM/Mqa8PBwXbx4USdPntTJkydVU1PTYE3tMRrrpSHp6enyeDzW1Lt376buHgAA0A7YvkU4e/Zs20JjjEpKSrR27Vo9%2BuijjqzwyqU2SYqKilJMTIz69Omj999/XxMnTrzq%2B4wx1sNPJdn%2B3dSaK1dDXS6X7d9fNUZTeqlrzpw5tsupfr%2BfkAUAwHXEFrCu3Jt0RYcOHdSjRw8tWrRIycnJzdJARESE%2BvTpowMHDkiSvF6vqqqqVF5ebjtzVFZWpiFDhlg127Zts41TXl6u6upq64yU1%2Butd5aprKxMnTp1Uvfu3WWMUceOHRusqT1GY700xO12y%2B12/6u7AgAAtBO2S4SbN2%2B2TTk5OXrnnXf0xBNPKCAgoFkaOHXqlI4cOaKIiAhJUnR0tAICApSdnW3VlJSUqKioyAo1sbGxKioqUklJiVWTlZUlt9ut6Ohoq6b2GFdqYmJiFBAQoMDAQEVHR9eryc7OttbTlF4AAADqavBBo1/H2bNn9Y9//MN6fejQIRUWFqpbt27q1q2b5s%2Bfr4ceekgRERE6fPiw5s6dq9DQUH3ve9%2BTJHk8Hj3%2B%2BOOaOXOmunfvrm7dumnWrFnq37%2B/HnjgAUmXb0Tv16%2BfEhMT9etf/1pffvmlZs2apeTkZOtbAikpKVq%2BfLnS0tKUnJys3Nxcvfbaa1q1apXVW1pamhITExUTE6PY2Fj9/ve/V3FxsVJSUprcCwAAQF22gHX33Xc3ev/RFdu3b29w/s6dO/Wd73zHen3lXqTJkydr5cqV2rt3r/70pz/p9OnTioiI0He%2B8x2tXr1aXbt2td7zm9/8Rp06ddLDDz%2Bs8%2BfP6/7779cbb7yhjh07SpI6duyo999/X0888YTuueceBQUFKSEhQUuWLLHGiIyM1Lp16/Tkk0/qpZdeks/n04svvqiHHnrIqpk0aZJOnTqlBQsWqKSkRFFRUVq3bp369OnT5F4AAADqsj0Ha/bs2XrllVd02223KTY2VpKUl5enzz77TFOmTLHdV/TLX/6y5btto3gO1mU8BwsA0JJa8zlYtjNYp0%2Bf1tSpU7Vw4UJb0bx583T8%2BHH94Q9/aNHmAAAA2iLbTe5vv/22fvjDH9YrSkpK0t/%2B9rcWawoAAKAtswUst9vd4BPKt27dymMHAAAAmsh2iXDGjBlKSUlRQUGBBg8eLOnyPVivvvqq5s6d2yoNAgAAtDW2gDVv3jxFRkbqd7/7nf74xz9Kuvzjx6%2B%2B%2BqoSEhJapUEAAIC2pt5zsBISEghTAAAAX0O9H3v2%2B/1644039Mwzz6i8vFyStHv3bttT0wEAAHB1tjNYRUVFeuCBB3TDDTfoyJEjSkpKUkhIiN5%2B%2B20dPXpUb775Zmv1CQAA0GbYzmA9%2BeSTSkhI0D//%2BU917tzZmj927Fht2rSpxZsDAABoi2xnsHbs2KGVK1fW%2B7mcnj17cokQAACgiWxnsAIDA3X27Nl6RQcOHFBoaGiLNQUAANCW2QLW%2BPHj9ctf/lIXL16UJLlcLn3xxRd6%2BumnNXHixFZpEAAAoK2xBawXXnhBx44dk9fr1fnz5zVixAjdfPPN6ty5c73fJwQAAEDDbPdgeTwebd26VdnZ2dq1a5cuXbqkgQMHatSoUfXuywIAAEDDrIBVXV2tBx98UCtWrFBcXJzi4uJasy8AAIA2y7pEGBAQoIKCAs5UAQAAfE22e7Aee%2Bwxvf76663VCwAAQLtQ77cIly9fro0bNyomJkZdunSxLXv%2B%2BedbrDEAAIC2yhaw8vPz9a1vfUuStGfPHlshlw4BAACappMkHTx4UJGRkdq8eXNr9wMAANDmdZCkW2%2B9VSdOnLBmTpo0ScePH2%2B1pgAAANqyDpJkjLHNXLdunc6dO9cqDQEAALR1HRovAQAAwL%2Big3T5Bva6N7FzUzsAAMD/TSfp8iXCpKQkud1uSdKFCxeUkpJS7zEN7777bst3CAAA0MZ0kqTJkyfbZj722GOt0gwAAEB70EkST28HAABwEDe5AwAAOIyABQAA4DACFgAAgMMIWAAAAA4jYAEAADiMgAUAAOAwAhYAAIDDCFgAAAAOI2ABAAA4jIAFAADgMAIWAACAwwhYAAAADiNgAQAAOIyABQAA4DDHA9amTZs0btw4%2BXw%2BuVwuvffee7blxhjNnz9fPp9PQUFBGj58uPbt22erKS8vV2JiojwejzwejxITE3X69Glbzd69ezVs2DAFBQWpZ8%2BeWrBggYwxtpo1a9aoX79%2Bcrvd6tevnzIzM5ulFwAAgNocD1jnzp3TgAEDtHz58gaXP//881q6dKmWL1%2BuHTt2yOv1auTIkTpz5oz%2BEwfpAAAVAklEQVRVk5CQoMLCQm3YsEEbNmxQYWGhEhMTreV%2Bv18jR46Uz%2BfTjh07tGzZMi1ZskRLly61anJzczVp0iQlJiZq9%2B7dSkxM1MMPP6xt27Y52gsAAEBdLlP3tI%2BTg7tcyszM1IQJEyRdPmPk8/mUmpqqp556SpJUWVmp8PBwLV68WFOmTNH%2B/fvVr18/5eXladCgQZKkvLw8xcbG6tNPP9Xtt9%2BulStXas6cOTp%2B/LjcbrckadGiRVq2bJmOHj0ql8ulSZMmye/3a/369VY/o0ePVkhIiFatWuVYL03h9/vl8XhUUVGh4OBgZ3bu/xczb4Oj4zWnnb8a3dotAACuI835%2BduYFr0H69ChQyotLVVcXJw1z%2B12a9iwYdq6dauky2eePB6PFWgkafDgwfJ4PLaaYcOGWeFKkkaNGqVjx47p8OHDVk3t9VypuTKGU700pLKyUn6/3zYBAIDrR4sGrNLSUklSeHi4bX54eLi1rLS0VGFhYfXeGxYWZqtpaIza67haTe3lTvTSkPT0dOueLY/Ho969e1%2B1FgAAtD%2Bt8i1Cl8tle22Msc2ru7wpNVeudDZWU3eeE73UNWfOHFVUVFjTkSNHrloLAADanxYNWF6vV5Lqnf0pKyuzziR5vV4dP3683ntPnDhhq2loDEmN1tRe7kQvDXG73QoODrZNAADg%2BtGiASsyMlJer1fZ2dnWvKqqKuXk5GjIkCGSpNjYWFVUVGj79u1WzbZt21RRUWGr2bRpk6qqqqyarKws%2BXw%2B3XTTTVZN7fVcqbkyhlO9AAAA1NXJ6QHPnj2rf/zjH9brQ4cOqbCwUN26ddM3v/lNpaamauHChbr11lt16623auHChbrhhhuUkJAgSerbt69Gjx6t5ORkvfLKK5Kkn/zkJ4qPj7e%2BtZeQkKDnnntOSUlJmjt3rg4cOKCFCxfqmWeesS7d/exnP9N9992nxYsX67vf/a7%2B/ve/a%2BPGjdqyZYuky5f%2BnOgFAACgLscD1s6dO/Wd73zHep2WliZJmjx5st544w3Nnj1b58%2Bf1xNPPKHy8nINGjRIWVlZ6tq1q/Wet956SzNmzLC%2B4Td%2B/Hjbc7U8Ho%2Bys7M1depUxcTEKCQkRGlpada6JGnIkCHKyMjQz3/%2Bc/3iF7/QLbfcotWrV9u%2BEehELwAAAHU163OwcBnPwbqM52ABAFrSdfMcLAAAgOsBAQsAAMBhBCwAAACHEbAAAAAcRsACAABwGAELAADAYQQsAAAAhxGwAAAAHEbAAgAAcBgBCwAAwGEELAAAAIcRsAAAABxGwAIAAHAYAQsAAMBhBCwAAACHEbAAAAAcRsACAABwGAELAADAYQQsAAAAhxGwAAAAHEbAAgAAcBgBCwAAwGEELAAAAIcRsAAAABxGwAIAAHAYAQsAAMBhBCwAAACHEbAAAAAcRsACAABwGAELAADAYQQsAAAAhxGwAAAAHEbAAgAAcBgBCwAAwGEELAAAAIcRsAAAABxGwAIAAHAYAQsAAMBhBCwAAACHEbAAAAAcRsACAABwWKsErPnz58vlctkmr9drLTfGaP78%2BfL5fAoKCtLw4cO1b98%2B2xjl5eVKTEyUx%2BORx%2BNRYmKiTp8%2BbavZu3evhg0bpqCgIPXs2VMLFiyQMcZWs2bNGvXr109ut1v9%2BvVTZmambXlTegEAAKit1c5g3XnnnSopKbGmvXv3Wsuef/55LV26VMuXL9eOHTvk9Xo1cuRInTlzxqpJSEhQYWGhNmzYoA0bNqiwsFCJiYnWcr/fr5EjR8rn82nHjh1atmyZlixZoqVLl1o1ubm5mjRpkhITE7V7924lJibq4Ycf1rZt2/6lXgAAAGpzmbqndFrA/Pnz9d5776mwsLDeMmOMfD6fUlNT9dRTT0mSKisrFR4ersWLF2vKlCnav3%2B/%2BvXrp7y8PA0aNEiSlJeXp9jYWH366ae6/fbbtXLlSs2ZM0fHjx%2BX2%2B2WJC1atEjLli3T0aNH5XK5NGnSJPn9fq1fv95a/%2BjRoxUSEqJVq1Y1qZem8Pv98ng8qqioUHBw8Nfad3XFzNvg6HjNaeevRrd2CwCA60hzfv42ptXOYB04cEA%2Bn0%2BRkZF65JFHdPDgQUnSoUOHVFpaqri4OKvW7XZr2LBh2rp1q6TLZ548Ho8VriRp8ODB8ng8tpphw4ZZ4UqSRo0apWPHjunw4cNWTe31XKm5MkZTemlIZWWl/H6/bQIAANePVglYgwYN0p/%2B9Cd98MEHevXVV1VaWqohQ4bo1KlTKi0tlSSFh4fb3hMeHm4tKy0tVVhYWL1xw8LCbDUNjXFl2VfV1F7eWC8NSU9Pt%2B4N83g86t2791fsDQAA0N60SsAaM2aMHnroIfXv318PPPCA3n//fUnSm2%2B%2BadW4XC7be4wxtnl1lzel5srV0MZq6s5rSk1tc%2BbMUUVFhTUdOXLkqrUAAKD9uSYe09ClSxf1799fBw4csL5NWPcMUVlZmXUmyev16vjx4/XGOXHihK2moTEkNVpTe3ljvTTE7XYrODjYNgEAgOvHNRGwKisrtX//fkVERCgyMlJer1fZ2dnW8qqqKuXk5GjIkCGSpNjYWFVUVGj79u1WzbZt21RRUWGr2bRpk6qqqqyarKws%2BXw%2B3XTTTVZN7fVcqbkyRlN6AQAAqKtVAtasWbOUk5OjQ4cOadu2bfr%2B978vv9%2BvyZMny%2BVyKTU1VQsXLlRmZqaKioqUlJSkG264QQkJCZKkvn37avTo0UpOTlZeXp7y8vKUnJys%2BPh43X777ZIuP8bB7XYrKSlJRUVFyszM1MKFC5WWlmZd3vvZz36mrKwsLV68WJ9%2B%2BqkWL16sjRs3KjU1VZKa1AsAAEBdnVpjpUePHtUPfvADnTx5Uj169NDgwYOVl5enPn36SJJmz56t8%2BfP64knnlB5ebkGDRqkrKwsde3a1Rrjrbfe0owZM6xv%2BI0fP17Lly%2B3lns8HmVnZ2vq1KmKiYlRSEiI0tLSlJaWZtUMGTJEGRkZ%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%2B1v17t1bK1eubO3WAADANahTazdwrauqqlJ%2Bfr6efvpp2/y4uDht3bq1wfdUVlaqsrLSel1RUSFJ8vv9jvdXU3nO8TGbS3NsPwAAV3Plc8cY0%2BLrJmA14uTJk6qpqVF4eLhtfnh4uEpLSxt8T3p6up577rl683v37t0sPbYVnhdauwMAwPXozJkz8ng8LbpOAlYTuVwu22tjTL15V8yZM0dpaWnW60uXLunLL79U9%2B7dr/oeJ/j9fvXu3VtHjhxRcHBws60HTcPxuHZwLK4tHI9rS3s%2BHsYYnTlzRj6fr8XXTcBqRGhoqDp27FjvbFVZWVm9s1pXuN1uud1u27wbb7yx2XqsKzg4uN39kbRlHI9rB8fi2sLxuLa01%2BPR0meuruAm90YEBgYqOjpa2dnZtvnZ2dkaMmRIK3UFAACuZZzBaoK0tDQlJiYqJiZGsbGx%2Bv3vf6/i4mKlpKS0dmsAAOAa1HH%2B/PnzW7uJa11UVJS6d%2B%2BuhQsXasmSJTp//rz%2B/Oc/a8CAAa3dWj0dO3bU8OHD1akT2flawPG4dnAsri0cj2sLx8N5LtMa310EAABox7gHCwAAwGEELAAAAIcRsAAAABxGwAIAAHAYAasdWbFihSIjI9W5c2dFR0dr8%2BbNrd1SuzN//ny5XC7b5PV6reXGGM2fP18%2Bn09BQUEaPny49u3bZxujvLxciYmJ8ng88ng8SkxM1OnTp1t6U9qcTZs2ady4cfL5fHK5XHrvvfdsy53a93v37tWwYcMUFBSknj17asGCBa3yO2bXusaOR1JSUr2/lcGDB9tqKisrNX36dIWGhqpLly4aP368jh49aqspLi7WuHHj1KVLF4WGhmrGjBmqqqpq9u1rS9LT03X33Xera9euCgsL04QJE/TZZ5/Zapza1zk5OYqOjlbnzp1188036%2BWXX2727WurCFjtxOrVq5Wamqp58%2BapoKBAQ4cO1ZgxY1RcXNzarbU7d955p0pKSqxp79691rLnn39eS5cu1fLly7Vjxw55vV6NHDlSZ86csWoSEhJUWFioDRs2aMOGDSosLFRiYmJrbEqbcu7cOQ0YMEDLly9vcLkT%2B97v92vkyJHy%2BXzasWOHli1bpiVLlmjp0qXNvn1tTWPHQ5JGjx5t%2B1tZt26dbXlqaqoyMzOVkZGhLVu26OzZs4qPj1dNTY0kqaamRmPHjtW5c%2Be0ZcsWZWRkaM2aNZo5c2azbltbk5OTo6lTpyovL0/Z2dm6ePGi4uLidO7cOavGiX196NAhPfjggxo6dKgKCgo0d%2B5czZgxQ2vWrGnxbW4TDNqFb3/72yYlJcU274477jBPP/10K3XUPj377LNmwIABDS67dOmS8Xq9ZtGiRda8CxcuGI/HY15%2B%2BWVjjDGffPKJkWTy8vKsmtzcXCPJfPrpp83bfDsiyWRmZlqvndr3K1asMB6Px1y4cMGqSU9PNz6fz1y6dKm5N6vNqns8jDFm8uTJ5rvf/e5V33P69GkTEBBgMjIyrHlffPGF6dChg9mwYYMxxph169aZDh06mC%2B%2B%2BMKqWbVqlXG73aaiosLhrWg/ysrKjCSTk5NjjHFuX8%2BePdvccccdtnVNmTLFDB48uLk3qU3iDFY7UFVVpfz8fMXFxdnmx8XFaevWra3UVft14MAB%2BXw%2BRUZG6pFHHtHBgwclXf7fXWlpqe04uN1uDRs2zDoOubm58ng8GjRokFUzePBgeTwejtXX4NS%2Bz83N1bBhw2y/JTpq1CgdO3ZMhw8fbpmNaUc%2B/vhjhYWF6bbbblNycrLKysqsZfn5%2BaqurrYdM5/Pp6ioKNvxiIqKsv1Q76hRo1RZWan8/PyW25A2pqKiQpLUrVs3Sc7t69zc3HqfM6NGjdLOnTtVXV3drNvUFhGw2oGTJ0%2Bqpqam3o9Ph4eH1/uRanw9gwYN0p/%2B9Cd98MEHevXVV1VaWqohQ4bo1KlT1r7%2BquNQWlqqsLCweuOGhYVxrL4Gp/Z9aWlpg2PUXgeaZsyYMXrrrbf04Ycf6oUXXtCOHTs0YsQIVVZWSrq8PwMDAxUSEmJ7X91jVvd4hISEKDAwkONxFcYYpaWl6d5771VUVJQk5/b11f4%2BLl68qJMnTzbXJrVZPBO/HXG5XLbXxph68/D1jBkzxvp3//79FRsbq1tuuUVvvvmmdQNvY8ehoWPCsXKGE/u%2BoTGu9l5c3aRJk6x/R0VFKSYmRn369NH777%2BviRMnXvV9/L18PdOmTdOePXu0ZcuWRmv5%2B2henMFqB0JDQ9WxY8d6/6MrKyur978NOKtLly7q37%2B/Dhw4YH2b8KuOg9fr1fHjx%2BuNc%2BLECY7V1%2BDUvvd6vQ2OIdU/O4Z/TUREhPr06aMDBw5Iuryvq6qqVF5ebqure8zqHo/y8nJVV1dzPBowffp0rV27Vh999JF69eplzXdqX1/t76NTp07q3r17c2xSm0bAagcCAwMVHR2t7Oxs2/zs7GwNGTKklbq6PlRWVmr//v2KiIhQZGSkvF6v7ThUVVUpJyfHOg6xsbGqqKjQ9u3brZpt27apoqKCY/U1OLXvY2NjtWnTJttX07OysuTz%2BXTTTTe1zMa0U6dOndKRI0cUEREhSYqOjlZAQIDtmJWUlKioqMh2PIqKilRSUmLVZGVlye12Kzo6umU34BpmjNG0adP07rvv6sMPP1RkZKRtuVP7OjY2tt7nTFZWlmJiYhQQENBcm9d2tcqt9XBcRkaGCQgIMK%2B99pr55JNPTGpqqunSpYs5fPhwa7fWrsycOdN8/PHH5uDBgyYvL8/Ex8ebrl27Wvt50aJFxuPxmHfffdfs3bvX/OAHPzARERHG7/dbY4wePdp861vfMrm5uSY3N9f079/fxMfHt9YmtRlnzpwxBQUFpqCgwEgyS5cuNQUFBebzzz83xjiz70%2BfPm3Cw8PND37wA7N3717z7rvvmuDgYLNkyZIW395r3VcdjzNnzpiZM2earVu3mkOHDpmPPvrIxMbGmp49e9qOR0pKiunVq5fZuHGj2bVrlxkxYoQZMGCAuXjxojHGmIsXL5qoqChz//33m127dpmNGzeaXr16mWnTprXWZl%2BTfvrTnxqPx2M%2B/vhjU1JSYk3/%2B7//a9U4sa8PHjxobrjhBvPkk0%2BaTz75xLz22msmICDAvPPOOy2%2BzW0BAasdeemll0yfPn1MYGCgGThwoPUVXThn0qRJJiIiwgQEBBifz2cmTpxo9u3bZy2/dOmSefbZZ43X6zVut9vcd999Zu/evbYxTp06ZR599FHTtWtX07VrV/Poo4%2Ba8vLylt6UNuejjz4ykupNkydPNsY4t%2B/37Nljhg4datxut/F6vWb%2B/Pk8oqEBX3U8/vd//9fExcWZHj16mICAAPPNb37TTJ482RQXF9vGOH/%2BvJk2bZrp1q2bCQoKMvHx8fVqPv/8czN27FgTFBRkunXrZqZNm2Z7jAZMg8dBknn99detGqf29ccff2zuuusuExgYaG666SazcuXKltjENsllDI8oBgAAcBL3YAEAADiMgAUAAOAwAhYAAIDDCFgAAAAOI2ABAAA4jIAFAADgMAIWAACAwwhYAAAADiNgAQAAOIyABQAA4DACFgAAgMMIWAAAAA4jYAEAADiMgAUAAOAwAhYAAIDDCFgAAAAOI2ABAAA4jIAFAADgsP8HHxiRMiYBFp0AAAAASUVORK5CYII%3D\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-1044101914845464248\">\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">1.0</td>\n",
       "        <td class=\"number\">2629372</td>\n",
       "        <td class=\"number\">89.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2.0</td>\n",
       "        <td class=\"number\">194201</td>\n",
       "        <td class=\"number\">6.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:8%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3.0</td>\n",
       "        <td class=\"number\">47350</td>\n",
       "        <td class=\"number\">1.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4.0</td>\n",
       "        <td class=\"number\">19685</td>\n",
       "        <td class=\"number\">0.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">5.0</td>\n",
       "        <td class=\"number\">10474</td>\n",
       "        <td class=\"number\">0.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">-1.0</td>\n",
       "        <td class=\"number\">7252</td>\n",
       "        <td class=\"number\">0.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">6.0</td>\n",
       "        <td class=\"number\">6338</td>\n",
       "        <td class=\"number\">0.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">7.0</td>\n",
       "        <td class=\"number\">4057</td>\n",
       "        <td class=\"number\">0.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">8.0</td>\n",
       "        <td class=\"number\">2903</td>\n",
       "        <td class=\"number\">0.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">9.0</td>\n",
       "        <td class=\"number\">2177</td>\n",
       "        <td class=\"number\">0.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"other\">\n",
       "        <td class=\"fillremaining\">Other values (188)</td>\n",
       "        <td class=\"number\">12040</td>\n",
       "        <td class=\"number\">0.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme-1044101914845464248\">\n",
       "            <p class=\"h4\">Minimum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">-22.0</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:25%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">-16.0</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:25%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">-9.0</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:25%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">-6.0</td>\n",
       "        <td class=\"number\">2</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:50%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">-5.0</td>\n",
       "        <td class=\"number\">4</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "            <p class=\"h4\">Maximum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">624.0</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">637.0</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">669.0</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1000.0</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2169.0</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_item_id\">item_id<br/>\n",
       "            <small>Numeric</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-6\">\n",
       "    <div class=\"row\">\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "                <tr>\n",
       "                    <th>Distinct count</th>\n",
       "                    <td>21807</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>0.7%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "\n",
       "        </div>\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "\n",
       "                <tr>\n",
       "                    <th>Mean</th>\n",
       "                    <td>10197</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>22169</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Zeros (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram4299568590081960729\">\n",
       "    <img src=\"%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAAdVJREFUeJzt202u0mAYhuG3xCllTk534SLck2OH7sdFuAsIC6Bx4EDqQHGiPjnnKF9buK4hDflK0pu3P9BN0zRVY8fjsYZhaL0sK3c4HOrp6anpmm%2BarvbTdrutqh8fuO/7OXaBFTmfzzUMw6/jpqVZAum6rqqq%2Br7/L4G8ff/pxe/5/OHdP69LW9fjpqVN8xVhRQQCgUAgEAgEAoFAIBDMcpt3Cdwa5jlMEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAge9kn6a7z06bsn7%2BsnkDsg3NtxigWBCfKA/FDz%2BUwQCBY3QV7z7Qa3srhAWKZHPS0TyMLc0wS9h6hcg0BggtzQPU2DR2WCQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCwSz/SZ%2Bmqaqqzufzb9u%2Bff3SendYkD8dE9fXrsdNS7MEMo5jVVUNwzDH8izY7uPft43jWLvdrt3OVFU3zZDl5XKp0%2BlU2%2B22uq5rvTwrM01TjeNY%2B/2%2BNpu2VwWzBAJr4SIdAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgeA79FpWtvSfo9sAAAAASUVORK5CYII%3D\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives4299568590081960729,#minihistogram4299568590081960729\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives4299568590081960729\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles4299568590081960729\"\n",
       "                                                  aria-controls=\"quantiles4299568590081960729\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram4299568590081960729\" aria-controls=\"histogram4299568590081960729\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common4299568590081960729\" aria-controls=\"common4299568590081960729\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme4299568590081960729\" aria-controls=\"extreme4299568590081960729\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
       "\n",
       "    </ul>\n",
       "\n",
       "    <div class=\"tab-content\">\n",
       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles4299568590081960729\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>1540</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>4476</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>9343</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>15684</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>20949</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>22169</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>22169</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>11208</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "            <div class=\"col-md-4 col-md-offset-2\">\n",
       "                <p class=\"h4\">Descriptive statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Standard deviation</th>\n",
       "                        <td>6324.3</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>0.6202</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>-1.2252</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>10197</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>5579.7</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>0.25717</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>29937518858</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>39997000</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>22.4 MiB</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram4299568590081960729\">\n",
       "            <img src=\"%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJzt3Xt0FGWe//FPzKUTM0kLBBIaEKO7IjHgDokDQREFTUACw6KHKJiBWYY1ysUQWBHZGZGdIVERHURwcPEyjkvQBVzmCEgc5WYShHALF12OoAFJCGDogINJgOf3h0v9aBJJok9u8H6dU%2BfQVd9%2B6ttV5tTHqupqP2OMEQAAAKy5qqkbAAAAuNwQsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwrEkC1owZM%2BTn5%2BczRUVFOcuNMZoxY4Y8Ho9CQkJ05513avfu3T5jlJWVKTU1VW63W263W6mpqTpx4oRPTWFhofr27auQkBB16NBBM2fOlDHGp2bp0qWKiYmRy%2BVSTEyMli9f7rO8Lr0AAABcqMnOYN18880qLi52psLCQmfZs88%2Bqzlz5mjevHnavHmzoqKidM899%2BjkyZNOzYgRI7R9%2B3atXr1aq1ev1vbt25WamuosLy8v1z333COPx6PNmzfrpZde0uzZszVnzhynJi8vTykpKUpNTdWOHTuUmpqq4cOHa9OmTfXqBQAA4EJ%2B5uJTOo1gxowZeu%2B997R9%2B/Zqy4wx8ng8Sk9P19SpUyVJFRUVioyM1DPPPKOHH35Ye/fuVUxMjPLz89WzZ09JUn5%2BvhISEvTZZ5%2BpS5cuWrBggaZNm6YjR47I5XJJkrKysvTSSy/p0KFD8vPzU0pKisrLy7Vq1Spn/QMGDFCrVq20ePHiOvVSF%2BfOndPhw4cVFhYmPz%2B/n7TtAABA3RhjdPLkSXk8Hl11VSOfUzJN4KmnnjJXX321ad%2B%2BvbnuuutMSkqK%2BeKLL4wxxnzxxRdGktm6davPe4YMGWJ%2B9atfGWOMWbRokXG73dXGdbvd5rXXXjPGGJOammqGDBnis3zr1q1Gktm/f78xxphOnTqZOXPm%2BNTMmTPHXHvttXXupSbfffed8Xq9zrRnzx4jiYmJiYmJiakJpoMHD9aaTWwLUBPo2bOn/vznP%2BvGG2/UkSNH9Pvf/169e/fW7t27VVJSIkmKjIz0eU9kZKS%2B%2BuorSVJJSYnatWtXbdx27do57y8pKdF1111XbYzzy6Kjo1VSUlLjei4co7ZeapKZmamnn3662vyDBw8qPDz8B98HAADsKS8vV6dOnRQWFtbo626SgDVw4EDn3926dVNCQoJuuOEGvfnmm%2BrVq5ckVbuUZozxmVfTpbbaasz/XQ2trebieXWpudC0adOUkZHhvD6/g8PDwwlYAAA0sqa4PadZPKYhNDRU3bp10759%2B5xvE54/e3ReaWmpcyYpKipKR44cqTbO0aNHfWpqGkNSrTUXLq%2Btl5q4XC4nTBGqAAC48jSLgFVRUaG9e/eqffv2io6OVlRUlHJycpzllZWVWrdunXr37i1JSkhIkNfr1aeffurUbNq0SV6v16dm/fr1qqysdGrWrFkjj8fjXDpMSEjwWc/5mvNj1KUXAACAahr9ri9jzOTJk83atWvN/v37TX5%2BvklOTjZhYWHmyy%2B/NMYYk5WVZdxut1m2bJkpLCw0Dz74oGnfvr0pLy93xhgwYIDp3r27ycvLM3l5eaZbt24mOTnZWX7ixAkTGRlpHnzwQVNYWGiWLVtmwsPDzezZs52aTz75xPj7%2B5usrCyzd%2B9ek5WVZQICAkx%2Bfr5TU5deauP1eo0k4/V6f8pmAwAA9dCUx98mCVgpKSmmffv2JjAw0Hg8HjNs2DCze/duZ/m5c%2BfMU089ZaKioozL5TJ33HGHKSws9Bnj%2BPHjZuTIkSYsLMyEhYWZkSNHmrKyMp%2BanTt3mj59%2BhiXy2WioqLMjBkzzLlz53xq3n33XdOlSxcTGBhobrrpJrN06VKf5XXppTYELAAAGl9THn%2Bb5DlYV5ry8nK53W55vV7uxwIAoJE05fG3WdyDBQAAcDkhYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLmuTHnnFlip%2B%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%2BYqOjlZwcLDi4uK0YcMGn%2BV16QUAAOBCAU258s2bN2vhwoXq3r27z/z09HT99a9/VXZ2ttq0aaPJkycrOTlZBQUF8vf319mzZzVo0CC1bdtWGzdu1PHjxzVq1CgZY/TSSy9Jkg4cOKB7771XY8eO1V/%2B8hd98sknevTRR9W2bVvdd999kqQlS5YoPT1d8%2BfP12233aY//elPGjhwoPbs2aNrr722Tr3g8hU/fXVTt1AvW/4woKlbAAD8Hz9jjGmKFZ86dUo9evTQ/Pnz9fvf/17/9E//pBdffFFer1dt27bVW2%2B9pZSUFEnS4cOH1alTJ61cuVJJSUlatWqVkpOTdfDgQXk8HklSdna2Ro8erdLSUoWHh2vq1KlasWKF9u7d66wzLS1NO3bsUF5eniSpZ8%2Be6tGjhxYsWODUdO3aVUOHDlVmZmadeqmL8vJyud1ueb1ehYeHW9l%2BLVFLCywtDQELAHw15fG3yS4Rjhs3ToMGDdLdd9/tM7%2BgoEBVVVVKTEx05nk8HsXGxio3N1eSlJeXp9jYWCdcSVJSUpIqKipUUFDg1Fw4xvmaLVu2qKqqSpWVlSooKKhWk5iY6KynLr3UpKKiQuXl5T4TAAC4cjTJJcLs7GwVFBRoy5Yt1ZaVlJQoKChIrVq18pkfGRmpkpISpyYyMtJneatWrRQUFHTJmsjISJ05c0bHjh2TMUZnz56tsebCMWrrpSaZmZl6%2BumnL7UJAADAZazRz2AdPHhQjz32mN5%2B%2B20FBwfX%2BX3GGPn5%2BTmvL/x3XWvOXw2traamsetTM23aNHm9Xmc6ePDgJccDAACXl0YPWAUFBSotLVVcXJwCAgIUEBCgdevWae7cuQoICFBkZKQqKytVVlbm877S0lLnbFNUVFS1M0hlZWWqqqq6ZE1paakCAgLUpk0bRUREyN/fv8aaC8eorZeauFwuhYeH%2B0wAAODK0egBq3///iosLNT27dudKT4%2BXiNHjnT%2BHRgYqJycHOc9xcXF2rVrl3r37i1JSkhI0K5du1RcXOzUrFmzRi6XS3FxcU7NhWOcrzk/flBQkOLi4qrV5OTkOOuJi4urtRcAAICLNfo9WGFhYYqNjfWZFxoaqjZt2jjzx4wZo8mTJ6tNmzZq3bq1pkyZom7dujk3xCcmJiomJkapqal67rnn9M0332jKlCkaO3asc7YoLS1N8%2BbNU0ZGhsaOHau8vDwtWrRIixcvdtabkZGh1NRUxcfHKyEhQQsXLlRRUZHS0tIkSW63u9ZeAAAALtakz8H6IS%2B88IICAgI0fPhwnT59Wv3799cbb7zhPHfK399f77//vh599FHddtttCgkJ0YgRIzR79mxnjOjoaK1cuVKTJk3Syy%2B/LI/Ho7lz5zrPwJKklJQUHT9%2BXDNnzlRxcbFiY2O1cuVKde7cuc69AAAAXKzJnoN1JeE5WN/jOVgNi%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%2Bv666/XK6%2B8Uq2X%2BfPnKzo6WsHBwYqLi9OGDRt8ltelFwAAgAs1ScDq2LGjsrKytGXLFm3ZskX9%2BvXTL3/5S%2B3evVuSlJ6eruXLlys7O1sbN27UqVOnlJycrLNnz0qSzp49q0GDBunbb7/Vxo0blZ2draVLl2ry5MnOOg4cOKB7771Xffr00bZt2/Tkk09q4sSJWrp0qVOzZMkSpaena/r06dq2bZv69OmjgQMHqqioyKmprRcAAICL%2BRljTF2L//KXv%2Bj%2B%2B%2B9XcHCw9UZat26t5557Tvfff7/atm2rt956SykpKZKkw4cPq1OnTlq5cqWSkpK0atUqJScn6%2BDBg/J4PJKk7OxsjR49WqWlpQoPD9fUqVO1YsUK7d2711lHWlqaduzYoby8PElSz5491aNHDy1YsMCp6dq1q4YOHarMzEx5vd5ae6mL8vJyud1ueb1ehYeHW9leLVH89NVN3cJlbcsfBjR1CwDQrDTl8TegPsUZGRkaP368UlJSNGbMGP3iF7/4yQ2cPXtW7777rr799lslJCSooKBAVVVVSkxMdGo8Ho9iY2OVm5urpKQk5eXlKTY21glXkpSUlKSKigoVFBTorrvuUl5ens8Y52sWLVqkqqoqGWNUUFCgJ554wqcmMTFRubm5klSnXoDmoiUFWMIggMtdvS4RHj58WK%2B99pqKi4t1%2B%2B236%2Babb9bzzz%2Bvo0eP1nvFhYWF%2BtnPfiaXy6W0tDQtX75cMTExKikpUVBQkFq1auVTHxkZqZKSEklSSUmJIiMjfZa3atVKQUFBl6yJjIzUmTNndOzYMR07dkxnz56tsebCMWrrpSYVFRUqLy/3mQAAwJWjXgErICBAw4YN04oVK1RUVKRRo0bptddeU8eOHTVs2DC9//77qusVxy5dumj79u3Kz8/XI488olGjRmnPnj0/WG%2BMkZ%2Bfn/P6wn/XteZ8b7XV1DR2fWoyMzPldrudqVOnTpccDwAAXF7qdYnwQlFRUerfv7%2B%2B%2BuorffHFF9qyZYv%2B9re/qW3btnr99dfVp0%2BfS74/KChI//AP/yBJio%2BP1%2BbNm/XHP/5RKSkpqqysVFlZmc%2BZo9LSUvXu3dtZ96ZNm3zGKysrU1VVlXNGKioqqtpZptLSUgUEBKhNmzYyxsjf37/GmgvHqK2XmkybNk0ZGRnO6/LyckIWgEbD5WKg6dX7W4THjh3Tiy%2B%2BqFtuuUW33XabSktL9d577%2Bmrr77S119/reTkZP3qV7%2BqdyPGGFVUVCguLk6BgYHKyclxlhUXF2vXrl1OqElISNCuXbtUXFzs1KxZs0Yul0txcXFOzYVjnK%2BJj49XYGCggoKCFBcXV60mJyfHWU9deqmJy%2BVyHkFxfgIAAFeOep3B%2Bud//metXLlS0dHR%2Bs1vfqNRo0apbdu2zvKf/exnevzxxzV37txLjvPkk09q4MCB6tSpk06ePKns7GytXbtWq1evltvt1pgxYzR58mS1adNGrVu31pQpU9StWzfdfffdkr6/ET0mJkapqal67rnn9M0332jKlCkaO3asE2bS0tI0b948ZWRkaOzYscrLy9OiRYu0ePFip4%2BMjAylpqYqPj5eCQkJWrhwoYqKipSWliZJdeoFAADgYvUKWOHh4frwww8vefmvffv22rdv3yXHOXLkiFJTU1VcXCy3263u3btr9erVuueeeyRJL7zwggICAjR8%2BHCdPn1a/fv31xtvvCF/f39Jkr%2B/v95//309%2Buijuu222xQSEqIRI0Zo9uzZzjqio6O1cuVKTZo0SS%2B//LI8Ho/mzp2r%2B%2B67z6lJSUnR8ePHNXPmTBUXFys2NlYrV65U586dnZraegEAALhYvZ6DhR%2BH52B9ryXdF4KGxX03Dasl/a3x3wIaUlMef%2Bt1D9akSZM0b968avNffvlln6eoAwAAXMnqFbDeffdd9erVq9r8hIQELVmyxFpTAAAALVm9AtaxY8eqPXRT%2Bv7erGPHjllrCgAAoCWrV8C64YYb9MEHH1Sb/8EHHyg6OtpaUwAAAC1Zvb5FmJ6ervT0dB0/flz9%2BvWTJP3tb3/Ts88%2B6/MNPgAAgCtZvQLW2LFj9d1332nWrFl66qmnJEkdO3bU3Llz9S//8i8N0iAAAEBLU%2B%2BfypkwYYImTJig4uJihYSE6JprrmmIvgAAAFqsH/1bhO3bt7fZBwAAwGWjXje5Hz16VL/%2B9a917bXXKjg4WEFBQT4TAAAA6nkGa/To0friiy/0b//2b2rfvr38/Pwaqi8AAIAWq14Ba/369Vq/fr1%2B/vOfN1Q/AIArSEv6WR%2BJn/ZB3dXrEmHHjh05awUAAFCLegWsF154QdOmTdOhQ4caqh8AAIAWr16XCFNTU3Xy5El17txZ4eHhCgwM9FleWlpqtTkAAICWqF4BKysrq6H6AAAAuGzUK2CNGTOmofoAAAC4bNTrHixJ%2BvLLLzVjxgylpqY6lwTXrFmjvXv3Wm8OAACgJapXwNqwYYNuvvlmrVu3Tu%2B8845OnTolSdq6dat%2B97vfNUiDAAAALU29AtbUqVM1Y8YMffzxxz5Pbu/Xr5/y8/OtNwcAANAS1Stg7dy5U/fff3%2B1%2Be3atdPRo0etNQUAANCS1StgXXPNNSopKak2f/v27erQoYO1pgAAAFqyegWsBx54QE888YSOHj3qPNF906ZNmjJlih566KEGaRAAAKClqVfAmjVrlqKiotS%2BfXudOnVKMTEx6t27t2699Vb99re/bageAQAAWpR6PQcrKChIS5Ys0f/%2B7/9q69atOnfunHr06KGbbrqpofoDAABoceoVsM678cYbdeONN9ruBT9CS/slegAArgT1Clj/%2Bq//esnlCxcu/EnNAAAAXA7qFbCKi4t9XldVVWn37t06efKk7rjjDquNAQAAtFT1Clh//etfq807c%2BaMHnnkEXXt2tVaUwAAAC1ZvX%2BL8GIBAQGaMmWKnnvuORv9AAAAtHg/OWBJ0v79%2B1VVVWVjKAAAgBavXpcIH3/8cZ/XxhgVFxdrxYoVGjlypNXGAAAAWqp6Bay8vDyf11dddZXatm2rrKwsjR071mpjAAAALVW9AtaGDRsaqg8AAJq9lvbswS1/GNDULVyxrNyDBQAAgP%2BvXmewbr31VudHnmvz6aef/qiGAACAHS3pjNvldratXgHrrrvu0p/%2B9CfdeOONSkhIkCTl5%2Bfr888/18MPPyyXy9UgTQIAALQk9QpYJ06c0Lhx4zRr1iyf%2BdOnT9eRI0f0n//5n1abA4DmoCWdBQDQPNTrHqx33nlHv/71r6vNHz16tN59911rTQEAALRk9QpYLpdLubm51ebn5uZyeRAAAOD/1OsS4cSJE5WWlqZt27apV69ekr6/B%2BvVV1/Vk08%2B2SANAgAAtDT1CljTp09XdHS0/vjHP%2Bq1116TJHXt2lWvvvqqRowY0SANAgAAtDT1CliSNGLECMIUAADAJdT7QaPl5eV644039Lvf/U5lZWWSpB07dqi4uNh6cwAAAC1Rvc5g7dq1S3fffbeuvvpqHTx4UKNHj1arVq30zjvv6NChQ3rzzTcbqk8AAIAWo15nsCZNmqQRI0boiy%2B%2BUHBwsDN/0KBBWr9%2BvfXmAAAAWqJ6ncHavHmzFixYUO3ncjp06MAlQgAAgP9TrzNYQUFBOnXqVLX5%2B/btU0REhLWmAAAAWrJ6BawhQ4boP/7jP3TmzBlJkp%2Bfn77%2B%2Bms98cQTGjZsWIM0CAAA0NLU6xLh888/rwEDBigqKkqnT59Wv379dPjwYd16663Vfp8QAH4Iv%2B0H4HJXr4DldruVm5urnJwcbd26VefOnVOPHj2UlJRU7b4sAACAK1WdA1ZVVZXuvfdezZ8/X4mJiUpMTGzIvgAAAFqsOt%2BDFRgYqG3btnGmCgAAoBb1usn9oYce0uuvv95QvQAAAFwW6v1TOfPmzVPPnj01btw4Pf744z5TXWVmZurWW29VWFiY2rVrp6FDh%2Brzzz/3qamoqNCECRMUERGh0NBQDRkyRIcOHfKpKSoq0uDBgxUaGqqIiAhNnDhRlZWVPjXr1q1TXFycgoODdf311%2BuVV16p1s/8%2BfMVHR2t4OBgxcXFacOGDfXuBQAA4Lx6BayCggJ1795dQUFB2rlzp/Ly8pwpPz%2B/zuOsW7dO48aNU35%2BvnJycnTmzBklJibq22%2B/dWrS09O1fPlyZWdna%2BPGjTp16pSSk5N19uxZSdLZs2c1aNAgffvtt9q4caOys7O1dOlSTZ482RnjwIEDuvfee9WnTx9t27ZNTz75pCZOnKilS5c6NUuWLFF6erqmT5%2Bubdu2qU%2BfPho4cKCKiorq3AsAAMCF/Iwxprai/fv3Kzo6usHuvzp69KjatWundevW6Y477pDX61Xbtm311ltvKSUlRZJ0%2BPBhderUSStXrlRSUpJWrVql5ORkHTx4UB6PR5KUnZ2t0aNHq7S0VOHh4Zo6dapWrFihvXv3OutKS0vTjh07lJeXJ0nq2bOnevTooQULFjg1Xbt21dChQ5WZmVmnXmpTXl4ut9str9er8PBwa9tN4uvuAIDLw5Y/DLA%2BZkMef2tTpzNY//iP/6ijR486r1NSUnTkyBFrTXi9XklS69atJX1/pqyqqsrnm4oej0exsbHKzc2VJOXl5Sk2NtYJV5KUlJSkiooKFRQUODUXf9sxKSlJW7ZsUVVVlSorK1VQUFCtJjEx0VlPXXoBAAC4UJ0C1sUnuVauXOlzOe%2BnMMYoIyNDt99%2Bu2JjYyVJJSUlCgoKUqtWrXxqIyMjVVJS4tRERkb6LG/VqpWCgoIuWRMZGakzZ87o2LFjOnbsmM6ePVtjzYVj1NbLxSoqKlReXu4zAQCAK0e9b3K3bfz48dq5c6cWL15ca60xxucyZU2XLGurOR8Wa6up7XLopWoyMzPldrudqVOnTpccCwAAXF7qFLD8/PyqhQkb92NNmDBBK1as0Mcff6yOHTs686OiolRZWamysjKf%2BtLSUudsU1RUVLUzSGVlZaqqqrpkTWlpqQICAtSmTRtFRETI39%2B/xpoLx6itl4tNmzZNXq/XmQ4ePFjXTQIAAC4Ddb5EOHr0aA0bNkzDhg3Td999p7S0NOf1%2BamujDEaP368li1bpo8%2B%2BkjR0dE%2By%2BPi4hQYGKicnBxnXnFxsXbt2qXevXtLkhISErRr1y4VFxc7NWvWrJHL5VJcXJxTc%2BEY52vi4%2BMVGBiooKAgxcXFVavJyclx1lOXXi7mcrkUHh7uMwEAgCtHnX4qZ9SoUT6vH3rooZ%2B00nHjxum//uu/9D//8z8KCwtzziC53W6FhITI7XZrzJgxmjx5stq0aaPWrVtrypQp6tatm%2B6%2B%2B25J39%2BIHhMTo9TUVD333HP65ptvNGXKFI0dO9YJNGlpaZo3b54yMjI0duxY5eXladGiRT6XIzMyMpSamqr4%2BHglJCRo4cKFKioqUlpamtNTbb0AAABcqE4By/bT288/EuHOO%2B%2Bstp7Ro0dLkl544QUFBARo%2BPDhOn36tPr376833nhD/v7%2BkiR/f3%2B9//77evTRR3XbbbcpJCREI0aM0OzZs53xoqOjtXLlSk2aNEkvv/yyPB6P5s6dq/vuu8%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%2BvUaPHiwPB6P/Pz89N577/ksN8ZoxowZ8ng8CgkJ0Z133qndu3f71JSVlSk1NVVut1tut1upqak6ceKET01hYaH69u2rkJAQdejQQTNnzpQxxqdm6dKliomJkcvlUkxMjJYvX17vXgAAAC7UJAGoxOnfAAAQVUlEQVTr22%2B/1S233KJ58%2BbVuPzZZ5/VnDlzNG/ePG3evFlRUVG65557dPLkSadmxIgR2r59u1avXq3Vq1dr%2B/btSk1NdZaXl5frnnvukcfj0ebNm/XSSy9p9uzZmjNnjlOTl5enlJQUpaamaseOHUpNTdXw4cO1adOmevUCAABwIT9z8Smdxm7Az0/Lly/X0KFDJX1/xsjj8Sg9PV1Tp06VJFVUVCgyMlLPPPOMHn74Ye3du1cxMTHKz89Xz549JUn5%2BflKSEjQZ599pi5dumjBggWaNm2ajhw5IpfLJUnKysrSSy%2B9pEOHDsnPz08pKSkqLy/XqlWrnH4GDBigVq1aafHixXXqpS7Ky8vldrvl9XoVHh5ubdtJUvz01VbHAwCgKWz5wwDrYzbk8bc2ze4erAMHDqikpESJiYnOPJfLpb59%2Byo3N1fS92ee3G63E64kqVevXnK73T41ffv2dcKVJCUlJenw4cP68ssvnZoL13O%2B5vwYdemlJhUVFSovL/eZAADAlaPZBaySkhJJUmRkpM/8yMhIZ1lJSYnatWtX7b3t2rXzqalpjAvX8UM1Fy6vrZeaZGZmOveGud1uderU6RKfGAAAXG6aXcA6z8/Pz%2Be1McZn3sXL61Jz/mpobTUXz6tLzYWmTZsmr9frTAcPHvzBWgAAcPlpdgErKipKkqqdISotLXXOJEVFRenIkSPV3nv06FGfmprGkFRrzYXLa%2BulJi6XS%2BHh4T4TAAC4cjS7gBUdHa2oqCjl5OQ48yorK7Vu3Tr17t1bkpSQkCCv16tPP/3Uqdm0aZO8Xq9Pzfr161VZWenUrFmzRh6PR9ddd51Tc%2BF6ztecH6MuvQAAAFysSQLWqVOntH37dm3fvl3S9zeTb9%2B%2BXUVFRfLz81N6erpmzZql5cuXa9euXRo9erSuvvpqjRgxQpLUtWtXDRgwQGPHjlV%2Bfr7y8/M1duxYJScnq0uXLpK%2Bf4yDy%2BXS6NGjtWvXLi1fvlyzZs1SRkaGc3nvscce05o1a/TMM8/os88%2B0zPPPKMPP/xQ6enpklSnXgAAAC4W0BQr3bJli%2B666y7ndUZGhiRp1KhReuONN/T444/r9OnTevTRR1VWVqaePXtqzZo1CgsLc97z9ttva%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%2BnRt27ZNffr00cCBA1VUVNTUrQEAgGaIgFUHc%2BbM0ZgxY/Sb3/xGXbt21YsvvqhOnTppwYIFTd0aAABohgKauoHmrrKyUgUFBXriiSd85icmJio3N7fG91RUVKiiosJ57fV6JUnl5eXW%2Bztb8a31MQEAaGwNcYw8P6YxxvrYtSFg1eLYsWM6e/asIiMjfeZHRkaqpKSkxvdkZmbq6aefrja/U6dODdIjAAAtnfv5hhv75MmTcrvdDbeCGhCw6sjPz8/ntTGm2rzzpk2bpoyMDOf1uXPn9M0336hNmzY/%2BJ4fo7y8XJ06ddLBgwcVHh5ubVzUD/uh%2BWBfNA/sh%2BaB/fD9sfrkyZPyeDyNvm4CVi0iIiLk7%2B9f7WxVaWlptbNa57lcLrlcLp9511xzTYP1GB4efsX%2B8TQn7Ifmg33RPLAfmocrfT809pmr87jJvRZBQUGKi4tTTk6Oz/ycnBz17t27iboCAADNGWew6iAjI0OpqamKj49XQkKCFi5cqKKiIqWlpTV1awAAoBnynzFjxoymbqK5i42NVZs2bTRr1izNnj1bp0%2Bf1ltvvaVbbrmlqVuTv7%2B/7rzzTgUEkJWbEvuh%2BWBfNA/sh%2BaB/dB0/ExTfHcRAADgMsY9WAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgNVCzZ8/X9HR0QoODlZcXJw2bNjQ1C21aDNmzJCfn5/PFBUV5Sw3xmjGjBnyeDwKCQnRnXfeqd27d/uMUVZWptTUVLndbrndbqWmpurEiRM%2BNYWFherbt69CQkLUoUMHzZw5s0l%2BI6u5WL9%2BvQYPHiyPxyM/Pz%2B99957Pssbc7svXbpUMTExcrlciomJ0fLlyxvmQzdTte2L0aNHV/sb6dWrl09NRUWFJkyYoIiICIWGhmrIkCE6dOiQT01RUZEGDx6s0NBQRUREaOLEiaqsrPSpWbduneLi4hQcHKzrr79er7zySsN86GYoMzNTt956q8LCwtSuXTsNHTpUn3/%2BuU9NY25njjU/gUGLk52dbQIDA82rr75q9uzZYx577DETGhpqvvrqq6ZurcV66qmnzM0332yKi4udqbS01FmelZVlwsLCzNKlS01hYaFJSUkx7du3N%2BXl5U7NgAEDTGxsrMnNzTW5ubkmNjbWJCcnO8u9Xq%2BJjIw0DzzwgCksLDRLly41YWFhZvbs2Y36WZuTlStXmunTp5ulS5caSWb58uU%2Byxtru%2Bfm5hp/f38za9Yss3fvXjNr1iwTEBBg8vPzG34jNBO17YtRo0aZAQMG%2BPyNHD9%2B3KcmLS3NdOjQweTk5JitW7eau%2B66y9xyyy3mzJkzxhhjzpw5Y2JjY81dd91ltm7danJycozH4zHjx493xti/f7%2B5%2BuqrzWOPPWb27NljXn31VRMYGGj%2B%2B7//u%2BE3QjOQlJRkXn/9dbNr1y6zfft2M2jQIHPttdeaU6dOOTWNtZ051vw0BKwW6Be/%2BIVJS0vzmXfTTTeZJ554ook6avmeeuopc8stt9S47Ny5cyYqKspkZWU587777jvjdrvNK6%2B8YowxZs%2BePUaSzwE5Ly/PSDKfffaZMcaY%2BfPnG7fbbb777junJjMz03g8HnPu3LmG%2BFgtysUH9cbc7sOHDzcDBgzw6ScpKck88MAD9j9oC/BDAeuXv/zlD77nxIkTJjAw0GRnZzvzvv76a3PVVVeZ1atXG2O%2BD3FXXXWV%2Bfrrr52axYsXG5fLZbxerzHGmMcff9zcdNNNPmM//PDDplevXj/5c7VEpaWlRpJZt26dMaZxtzPHmp%2BGS4QtTGVlpQoKCpSYmOgzPzExUbm5uU3U1eVh37598ng8io6O1gMPPKD9%2B/dLkg4cOKCSkhKfbe5yudS3b19nm%2Bfl5cntdqtnz55OTa9eveR2u31q%2Bvbt6/M7lUlJSTp8%2BLC%2B/PLLRviELUtjbve8vLxqf1NJSUn8TV1k7dq1ateunW688UaNHTtWpaWlzrKCggJVVVX5bEePx6PY2FiffREbG%2Bvzw7tJSUmqqKhQQUGBU1PTvtiyZYuqqqoa8uM1S16vV5LUunVrSY23nTnW/HQErBbm2LFjOnv2bLUfmo6MjKz2g9Sou549e%2BrPf/6zPvjgA7366qsqKSlR7969dfz4cWe7Xmqbl5SUqF27dtXGbdeunU9NTWOcXwZfjbndf6iG/fL/DRw4UG%2B//bY%2B%2BugjPf/889q8ebP69euniooKSd9vw6CgILVq1crnfRfvr4u3c6tWrRQUFFTrvjhz5oyOHTvWUB%2BvWTLGKCMjQ7fffrtiY2MlNd525ljz0/Hs/BbKz8/P57Uxpto81N3AgQOdf3fr1k0JCQm64YYb9Oabbzo38ta2zWva/rXVmP%2B70Zp998Maa7vzN3VpKSkpzr9jY2MVHx%2Bvzp076/3339ewYcN%2B8H38nfx448eP186dO7Vx48Zaa21v5x/a5vxd1B1nsFqYiIgI%2Bfv7V/s/iNLS0mr/p4EfLzQ0VN26ddO%2BffucbxNeaptHRUXpyJEj1cY5evSoT01NY0jVz9JAjbrdf6iG/fLD2rdvr86dO2vfvn2Svt%2BGlZWVKisr86m7eH9dvJ3LyspUVVVV674ICAhQmzZtGurjNDsTJkzQihUr9PHHH6tjx47O/MbazhxrfjoCVgsTFBSkuLg45eTk%2BMzPyclR7969m6iry09FRYX27t2r9u3bKzo6WlFRUT7bvLKyUuvWrXO2eUJCgrxerz799FOnZtOmTfJ6vT4169ev9/mq9Jo1a%2BTxeHTdddc1zgdrQRpzuyckJFT7m1qzZg1/U5dw/PhxHTx4UO3bt5ckxcXFKTAw0Gc7FhcXa9euXT77YteuXSouLnZq1qxZI5fLpbi4OKempn0RHx%2BvwMDAhv5YTc4Yo/Hjx2vZsmX66KOPFB0d7bO8sbYzxxoLGvuuevx05786u2jRIrNnzx6Tnp5uQkNDzZdfftnUrbVYkydPNmvXrjX79%2B83%2Bfn5Jjk52YSFhTnbNCsry7jdbrNs2TJTWFhoHnzwwRofF9C9e3eTl5dn8vLyTLdu3XweF3DixAkTGRlpHnzwQVNYWGiWLVtmwsPDr%2BjHNJw8edJs27bNbNu2zUgyc%2BbMMdu2bXO%2BBt5Y2/2TTz4x/v7%2BJisry%2Bzdu9dkZWVdcY9puNS%2BOHnypJk8ebLJzc01Bw4cMB9//LFJSEgwHTp08NkXaWlppmPHjubDDz80W7duNf369avx8QH9%2B/c3W7duNR9%2B%2BKHp2LFjjY8PmDRpktmzZ49ZtGjRFfWYhkceecS43W6zdu1an0di/P3vf3dqGms7c6z5aQhYLdTLL79sOnfubIKCgkyPHj2cr/Dixzn/fKXAwEDj8XjMsGHDzO7du53l586dM0899ZSJiooyLpfL3HHHHaawsNBnjOPHj5uRI0easLAwExYWZkaOHGnKysp8anbu3Gn69OljXC6XiYqKMjNmzLiiH9Hw8ccfG0nVplGjRhljGne7v/vuu6ZLly4mMDDQ3HTTTWbp0qUN%2Btmbm0vti7///e8mMTHRtG3b1gQGBpprr73WjBo1yhQVFfmMcfr0aTN%2B/HjTunVrExISYpKTk6vVfPXVV2bQoEEmJCTEtG7d2owfP97nERrGGLN27Vrz85//3AQFBZnrrrvOLFiwoME/f3NR0z6QZF5//XWnpjG3M8eaH8/PmCv4MdIAAAANgHuwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABY9v8AH0GBo%2ByKWMQAAAAASUVORK5CYII%3D\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common4299568590081960729\">\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">20949</td>\n",
       "        <td class=\"number\">31340</td>\n",
       "        <td class=\"number\">1.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">5822</td>\n",
       "        <td class=\"number\">9408</td>\n",
       "        <td class=\"number\">0.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">17717</td>\n",
       "        <td class=\"number\">9067</td>\n",
       "        <td class=\"number\">0.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2808</td>\n",
       "        <td class=\"number\">7479</td>\n",
       "        <td class=\"number\">0.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4181</td>\n",
       "        <td class=\"number\">6853</td>\n",
       "        <td class=\"number\">0.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">7856</td>\n",
       "        <td class=\"number\">6602</td>\n",
       "        <td class=\"number\">0.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3732</td>\n",
       "        <td class=\"number\">6475</td>\n",
       "        <td class=\"number\">0.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2308</td>\n",
       "        <td class=\"number\">6320</td>\n",
       "        <td class=\"number\">0.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4870</td>\n",
       "        <td class=\"number\">5811</td>\n",
       "        <td class=\"number\">0.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3734</td>\n",
       "        <td class=\"number\">5805</td>\n",
       "        <td class=\"number\">0.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"other\">\n",
       "        <td class=\"fillremaining\">Other values (21797)</td>\n",
       "        <td class=\"number\">2840689</td>\n",
       "        <td class=\"number\">96.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme4299568590081960729\">\n",
       "            <p class=\"h4\">Minimum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">0</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:17%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">6</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">2</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:34%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">2</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:34%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:17%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "            <p class=\"h4\">Maximum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">22165</td>\n",
       "        <td class=\"number\">2</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">22166</td>\n",
       "        <td class=\"number\">270</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:24%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">22167</td>\n",
       "        <td class=\"number\">1114</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">22168</td>\n",
       "        <td class=\"number\">6</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">22169</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_item_price\">item_price<br/>\n",
       "            <small>Numeric</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-6\">\n",
       "    <div class=\"row\">\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "                <tr>\n",
       "                    <th>Distinct count</th>\n",
       "                    <td>19993</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>0.7%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "\n",
       "        </div>\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "\n",
       "                <tr>\n",
       "                    <th>Mean</th>\n",
       "                    <td>890.85</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>-1</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>307980</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Zeros (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram-7619577915013301685\">\n",
       "    <img src=\"%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAAZxJREFUeJzt1zGO01AUhtHraFo7fRTvgkWwJ2pK9sMi2EWiLMAWBQV5FBCaQb80UvQ8Rue0lu59lt9XeGitterser3WPM%2B917Jzl8ulzudz150vXbf9MY5jVf1%2B4WmatjgCO7IsS83z/Pfe9LRJIMMwVFXVNE2vAvnw6eub5337/PEp5%2BJ9e9ybng7dN8KOCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAsHLFktba1VVtSzLq2c/f3x/87x/zeH/8fi%2Bj3vT0yaBrOtaVVXzPD9l3vHLU8bwzq3rWsfjsevOoW2Q5f1%2Br9vtVuM41jAMvdezM621Wte1TqdTHQ59/wo2CQT2wk86BAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAsEvUiRAcfImNfQAAAAASUVORK5CYII%3D\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-7619577915013301685,#minihistogram-7619577915013301685\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives-7619577915013301685\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-7619577915013301685\"\n",
       "                                                  aria-controls=\"quantiles-7619577915013301685\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram-7619577915013301685\" aria-controls=\"histogram-7619577915013301685\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common-7619577915013301685\" aria-controls=\"common-7619577915013301685\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme-7619577915013301685\" aria-controls=\"extreme-7619577915013301685\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
       "\n",
       "    </ul>\n",
       "\n",
       "    <div class=\"tab-content\">\n",
       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-7619577915013301685\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>-1</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>99</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>249</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>399</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>999</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>2690</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>307980</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>307980</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>750</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "            <div class=\"col-md-4 col-md-offset-2\">\n",
       "                <p class=\"h4\">Descriptive statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Standard deviation</th>\n",
       "                        <td>1729.8</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>1.9417</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>445.53</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>890.85</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>769.95</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>10.75</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>2615400000</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>2992200</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>22.4 MiB</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-7619577915013301685\">\n",
       "            <img src=\"%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJzt3X9clfX9//EnKhzJwQlFwKNm5EolzE9CUyzTtEDzx5xt6Sg%2BsjUmyx8R%2BrXQVeY%2BE23ObWVaa63a1sQW0bzd/DHwU6F%2BBH%2BgqKj1cRNDE0QNQZ0C6vv7hx%2BuGxdgsHUBoo/77XZuN891vc77ep1354znrl/HyxhjBAAAAMe0a%2B0GAAAArjcELAAAAIcRsAAAABxGwAIAAHAYAQsAAMBhBCwAAACHEbAAAAAcRsACAABwGAELAADAYQQsAAAAhxGwAAAAHEbAAgAAcBgBCwAAwGEELAAAAIcRsAAAABxGwAIAAHAYAQsAAMBhBCwAAACHEbAAAAAcRsACAABwGAELAADAYQQsAAAAhxGwAAAAHEbAAgAAcBgBCwAAwGEELAAAAIcRsAAAABxGwAIAAHAYAQsAAMBhBCwAAACHEbAAAAAcRsACAABwGAELAADAYQQsAAAAhxGwAAAAHEbAAgAAcBgBCwAAwGEELAAAAId1aO0GbgSXL1/WsWPH5OfnJy8vr9ZuBwCAG4IxRmfOnJHH41G7di27T4mA1QKOHTumnj17tnYbAADckI4cOaIePXq06DYJWC3Az89P0pX/wP7%2B/q3cDQAAN4aKigr17NnT%2BjvckghYLaDmsKC/vz8BCwCAFtYap%2BdwkjsAAIDDHA9YK1as0F133WXtrYmKitK6deus9ZWVlZoxY4YCAwPVqVMnjR8/XkePHrWNUVRUpHHjxqlTp04KDAzUzJkzVVVVZavJzs5WRESEOnbsqNtuu02vvfZavV6WL1%2Bu0NBQdezYUREREdq0aZNtvVO9AAAA1OZ4wOrRo4cWLVqkHTt2aMeOHRoxYoS%2B/e1va9%2B%2BfZKkpKQkZWRkKC0tTZs3b9bZs2c1duxYXbp0SZJ06dIljRkzRufOndPmzZuVlpam9PR0zZo1y9pGYWGhHn74YQ0dOlS7du3S3LlzNXPmTKWnp1s1q1atUlJSkubNm6ddu3Zp6NChGj16tIqKiqwaJ3oBAACox7SAgIAA87vf/c6cPn3aeHt7m7S0NGvdF198Ydq1a2fWr19vjDFm7dq1pl27duaLL76walauXGlcLpcpLy83xhgzZ84c07dvX9s2pk6dagYPHmw9/9a3vmUSExNtNX379jXPPvusMcY41ktTlJeXG0n/0msAAMDX05p/f5v1HKxLly4pLS1N586dU1RUlPLy8lRdXa3o6GirxuPxKDw8XFu2bJEk5eTkKDw8XB6Px6qJiYlRZWWl8vLyrJraY9TU7NixQ9XV1aqqqlJeXl69mujoaGs7TvUCAABQV7NcRbh3715FRUXpwoUL%2BsY3vqGMjAyFhYUpPz9fPj4%2BCggIsNUHBwerpKREklRSUqLg4GDb%2BoCAAPn4%2BHxlTXBwsC5evKiTJ0/KGKNLly41WFN7DCd6aUhlZaUqKyut5xUVFVetBQAA159m2YPVp08f5efnKzc3Vz/5yU80ZcoU7d%2B//6r1xhjbJZQNXU7ZWI0xpt7yhmoau1Tz3%2BmlrtTUVLndbuvBTUYBALixNEvA8vHx0Te/%2BU1FRkYqNTVVAwYM0G9%2B8xuFhISoqqpKZWVltvrS0lJrT1FISEi9vUNlZWWqrq7%2ByprS0lJ16NBBXbp0UWBgoNq3b99gTe0xnOilISkpKSovL7ceR44c%2Bcr5AgAA15cWuQ%2BWMUaVlZWKiIiQt7e3srKyrHXFxcUqKCjQkCFDJElRUVEqKChQcXGxVZOZmSmXy6WIiAirpvYYNTWRkZHy9vaWj4%2BPIiIi6tVkZWVZ23Gql4a4XC7rNhXcXBQAgBuQ02fNp6SkmI0bN5rCwkKzZ88eM3fuXNOuXTuTmZlpjDEmMTHR9OjRw2zYsMHs3LnTjBgxwgwYMMBcvHjRGGPMxYsXTXh4uBk5cqTZuXOn2bBhg%2BnRo4eZPn26tY1Dhw6Zm266yTz99NNm//795s033zTe3t7m/ffft2rS0tKMt7e3efPNN83%2B/ftNUlKS6dSpkzl8%2BLBV40QvTcFVhAAAtLzW/PvreMD64Q9/aHr16mV8fHxM165dzciRI61wZYwx58%2BfN9OnTzedO3c2vr6%2BZuzYsaaoqMg2xueff27GjBljfH19TefOnc306dPNhQsXbDWffPKJufvuu42Pj4%2B59dZbzYoVK%2Br18uqrr1q9DBw40GRnZ9vWO9VLYwhYAAC0vNb8%2B%2BtlzP%2BdHY5mU1FRIbfbrfLycg4XAgDQQlrz7y8/9tzGRc5b39otNNmOn49q7RYAAGgR/NgzAACAwwhYAAAADiNgAQAAOIyABQAA4DACFgAAgMMIWAAAAA4jYAEAADiMgAUAAOAwAhYAAIDDCFgAAAAOI2ABAAA4jIAFAADgMAIWAACAwwhYAAAADiNgAQAAOIyABQAA4DACFgAAgMMIWAAAAA4jYAEAADiMgAUAAOAwAhYAAIDDCFgAAAAOI2ABAAA4jIAFAADgMAIWAACAwwhYAAAADiNgAQAAOIyABQAA4DACFgAAgMMIWAAAAA4jYAEAADiMgAUAAOAwAhYAAIDDCFgAAAAOI2ABAAA4jIAFAADgMAIWAACAwwhYAAAADiNgAQAAOIyABQAA4DDHA1Zqaqruuece%2Bfn5KSgoSBMmTNBnn31mqxk%2BfLi8vLxsj8mTJ9tqysrKFBcXJ7fbLbfbrbi4OJ0%2BfdpWs3fvXg0bNky%2Bvr7q3r27FixYIGOMrSY9PV1hYWFyuVwKCwtTRkaGbb0xRvPnz5fH45Gvr6%2BGDx%2Buffv2/cu9AAAA1HA8YGVnZ2vatGnKzc1VVlaWLl68qOjoaJ07d85Wl5CQoOLiYuvx%2Buuv29bHxsYqPz9f69ev1/r165Wfn6%2B4uDhrfUVFhR566CF5PB5t375dr7zyipYsWaKlS5daNTk5OZo0aZLi4uK0e/duxcXF6dFHH9XWrVutmpdeeklLly7VsmXLtH37doWEhOihhx7SmTNnmtwLAABAbV6m7i4fh504cUJBQUHKzs7W/fffL%2BnKHqz/%2BI//0K9//esGX3PgwAGFhYUpNzdXgwYNkiTl5uYqKipKn376qfr06aMVK1YoJSVFx48fl8vlkiQtWrRIr7zyio4ePSovLy9NmjRJFRUVWrdunTX2qFGjFBAQoJUrV8oYI4/Ho6SkJD3zzDOSpMrKSgUHB2vx4sWaOnVqk3ppTEVFhdxut8rLy%2BXv7//vT2YDIuetd3S85rTj56NauwUAwA2kOf/%2BNqbZz8EqLy%2BXJHXu3Nm2/N1331VgYKDuvPNOzZ4927bHKCcnR2632wo0kjR48GC53W5t2bLFqhk2bJgVriQpJiZGx44d0%2BHDh62a6Oho23ZjYmKsMQoLC1VSUmKrcblcGjZsmG07jfVSV2VlpSoqKmwPAABw4%2BjQnIMbY5ScnKz77rtP4eHh1vLHHntMoaGhCgkJUUFBgVJSUrR7925lZWVJkkpKShQUFFRvvKCgIJWUlFg1t956q219cHCwtS40NFQlJSXWsto1tceo/braNZ9//nmTe6krNTVVL774YsOTAgAArnvNGrCmT5%2BuPXv2aPPmzbblCQkJ1r/Dw8N1%2B%2B23KzIyUjt37tTAgQMlSV5eXvXGM8bYltetqTna2VhN3WWN1TSll9pSUlKUnJxsPa%2BoqFDPnj0brAUAANefZjtEOGPGDK1evVoff/yxevTo8ZW1AwcOlLe3tw4ePChJCgkJ0fHjx%2BvVnThxwtrbFBISUm8PUmlpqSQ1WlN7vaRGaxrrpS6XyyV/f3/bAwAA3DgcD1jGGE2fPl0ffPCBPvroI4WGhjb6mn379qm6ulrdunWTJEVFRam8vFzbtm2zarZu3ary8nINGTLEqtm4caOqqqqsmszMTHk8HuvQYVRUlHXYsXZNzRg1hylr11RVVSk7O9u2ncZ6AQAAqM3xgDVt2jT96U9/0p///Gf5%2BfmppKREJSUlOn/%2BvCTpH//4hxYsWKAdO3bo8OHDWrt2rb73ve/p7rvv1r333itJ6tevn0aNGqWEhATl5uYqNzdXCQkJGjt2rHXVXmxsrFwul%2BLj41VQUKCMjAwtXLhQycnJ1qG7p556SpmZmVq8eLE%2B/fRTLV68WBs2bFBSUpKkK4f%2BkpKStHDhQmVkZKigoEDx8fG66aabFBsb2%2BReAAAAanP8Ng1XOy/prbfeUnx8vI4cOaLHH39cBQUFOnv2rHr27KkxY8bohRdesF1p%2BOWXX2rmzJlavXq1JGn8%2BPFatmyZbr75Zqtm7969mjZtmrZt26aAgAAlJibq%2Beeft/Xw/vvv66c//akOHTqk3r176%2Bc//7kmTpxorTfG6MUXX9Trr7%2BusrIyDRo0SK%2B%2B%2BqrtpPym9PJVuE3DFdymAQDQklrzNg3Nfh8sELBqELAAAC3pur4PFgAAwI2GgAUAAOAwAhYAAIDDCFgAAAAOI2ABAAA4jIAFAADgMAIWAACAwwhYAAAADiNgAQAAOIyABQAA4DACFgAAgMMIWAAAAA4jYAEAADiMgAUAAOAwAhYAAIDDCFgAAAAOI2ABAAA4jIAFAADgMAIWAACAwwhYAAAADiNgAQAAOIyABQAA4DACFgAAgMMIWAAAAA4jYAEAADiMgAUAAOAwAhYAAIDDCFgAAAAOI2ABAAA4jIAFAADgMAIWAACAwwhYAAAADiNgAQAAOIyABQAA4DACFgAAgMMIWAAAAA4jYAEAADiMgAUAAOAwAhYAAIDDCFgAAAAOI2ABAAA4zPGAlZqaqnvuuUd%2Bfn4KCgrShAkT9Nlnn9lqKisrNWPGDAUGBqpTp04aP368jh49aqspKirSuHHj1KlTJwUGBmrmzJmqqqqy1WRnZysiIkIdO3bUbbfdptdee61eP8uXL1doaKg6duyoiIgIbdq0qVl6AQAAqOF4wMrOzta0adOUm5urrKwsXbx4UdHR0Tp37pxVk5SUpIyMDKWlpWnz5s06e/asxo4dq0uXLkmSLl26pDFjxujcuXPavHmz0tLSlJ6erlmzZlljFBYW6uGHH9bQoUO1a9cuzZ07VzNnzlR6erpVs2rVKiUlJWnevHnatWuXhg4dqtGjR6uoqMjRXgAAAGrzMsaY5tzAiRMnFBQUpOzsbN1///0qLy9X165d9cc//lGTJk2SJB07dkw9e/bU2rVrFRMTo3Xr1mns2LE6cuSIPB6PJCktLU3x8fEqLS2Vv7%2B/nnnmGa1evVoHDhywtpWYmKjdu3crJydHkjRo0CANHDhQK1assGr69eunCRMmKDU11bFeGlNRUSG3263y8vIm1f8rIuetd3S85rTj56NauwUAwA2kOf/%2BNqbZz8EqLy%2BXJHXu3FmSlJeXp%2BrqakVHR1s1Ho9H4eHh2rJliyQpJydH4eHhVqCRpJiYGFVWViovL8%2BqqT1GTc2OHTtUXV2tqqoq5eXl1auJjo62tuNUL3VVVlaqoqLC9gAAADeOZg1YxhglJyfrvvvuU3h4uCSppKREPj4%2BCggIsNUGBwerpKTEqgkODratDwgIkI%2BPz1fWBAcH6%2BLFizp58qROnjypS5cuNVhTewwneqkrNTVVbrfbevTs2fOrJwoAAFxXmjVgTZ8%2BXXv27NHKlSsbrTXGyMvLy3pe%2B99Nrak52tlYTUNjf91eaktJSVF5ebn1OHLkyFduDwAAXF%2BaLWDNmDFDq1ev1scff6wePXpYy0NCQlRVVaWysjJbfWlpqbWnKCQkpN7eobKyMlVXV39lTWlpqTp06KAuXbooMDBQ7du3b7Cm9hhO9FKXy%2BWSv7%2B/7QEAAG4cjgcsY4ymT5%2BuDz74QB999JFCQ0Nt6yMiIuTt7a2srCxrWXFxsQoKCjRkyBBJUlRUlAoKClRcXGzVZGZmyuVyKSIiwqqpPUZNTWRkpLy9veXj46OIiIh6NVlZWdZ2nOoFAACgtg5ODzht2jT9%2Bc9/1l//%2Blf5%2BflZe3/cbrd8fX3ldrv1xBNPaNasWerSpYs6d%2B6s2bNnq3///nrwwQclXTkRPSwsTHFxcfrFL36hL7/8UrNnz1ZCQoK1NygxMVHLli1TcnKyEhISlJOTozfffNN2ODI5OVlxcXGKjIxUVFSUfvvb36qoqEiJiYlWT070AgAAUJvjAavmlgjDhw%2B3LX/rrbcUHx8vSfrVr36lDh066NFHH9X58%2Bc1cuRIvf3222rfvr0kqX379lqzZo2efPJJ3XvvvfL19VVsbKyWLFlijRcaGqq1a9fq6aef1quvviqPx6OXX35ZjzzyiFUzadIknTp1SgsWLFBxcbHCw8O1du1a9erVy6pxohcAAIDamv0%2BWOA%2BWDW4DxYAoCVd1/fBAgAAuNEQsAAAABxGwAIAAHAYAQsAAMBhBCwAAACHEbAAAAAcRsACAABwmC1g/elPf9KFCxdaqxcAAIDrgi1gJScnKyQkRFOnTtW2bdtaqycAAIA2zRawjh07pt///vcqLi7WfffdpzvvvFO//OUvdeLEidbqDwAAoM2xBawOHTpo4sSJWr16tYqKijRlyhT9/ve/V48ePTRx4kStWbNG/LIOAADAV7vqSe4hISEaOXKkhg8fLi8vL%2B3YsUOxsbG6/fbbtWnTppbsEQAAoE2pF7BOnjypX//61xowYIDuvfdelZaW6sMPP9Tnn3%2BuL774QmPHjtV//ud/tkavAAAAbUKH2k%2B%2B853vaO3atQoNDdWPfvQjTZkyRV27drXWf%2BMb39CcOXP08ssvt3ijAAAAbYUtYPn7%2B2vDhg0aOnToVV/QrVs3HTx4sNkbAwAAaKtsAeudd95p9AVeXl7q3bt3szUEAADQ1tnOwXr66ae1bNmyekWvvvqqZs2a1WJNAQAAtGW2gPWXv/xFgwcPrlcUFRWlVatWtVhTAAAAbZktYJ08eVIBAQH1ivz9/XXy5MkWawoAAKAtswWs3r17629/%2B1u9or/97W8KDQ1tsaYAAADaMttJ7klJSUpKStKpU6c0YsQISdJ///d/66WXXtKSJUtapUEAAIC2xhawEhISdOHCBS1cuFAvvPCCJKlHjx56%2BeWX9cMf/rBVGgQAAGhrOtRdMGPGDM2YMUPFxcXy9fXVzTff3Bp9AQAAtFn1AlaNbt26tWQfAAAA1w3bSe4nTpzQD37wA91yyy3q2LGjfHx8bA8AAAA0zrYHKz4%2BXv/4xz/0//7f/1O3bt3k5eXVWn0BAAC0WbaAtXHjRm3cuFF33313a/UDAADQ5tkOEfbo0YO9VgAAAF%2BTLWD96le/UkpKio4ePdpa/QAAALR5tkOEcXFxOnPmjHr16iV/f395e3vbiktLS1u0OQAAgLbIFrAWLVrUWn0AAABcN2wB64knnmitPgAAAK4b7eouOHz4sObPn6%2B4uDjrkGBmZqYOHDjQ4s0BAAC0RbaAtWnTJt15553Kzs7We%2B%2B9p7Nnz0qSdu7cqeeff75VGgQAAGhrbAHrmWee0fz58/Xxxx/b7tw%2BYsQI5ebmtnhzAAAAbZEtYO3Zs0ff/e536xUFBQXpxIkTLdYUAABAW2YLWDfffLNKSkrqFeXn56t79%2B4t1hQAAEBbZgtYkydP1rPPPqsTJ05Yd3TfunWrZs%2Berccff7xVGgQAAGhrbAFr4cKFCgkJUbdu3XT27FmFhYVpyJAhuueee/Tcc8%2B1Vo8AAABtiu0%2BWD4%2BPlq1apX%2B93//Vzt37tTly5c1cOBA9e3bt7X6AwAAaHM6NLTwjjvu0B133NHSvQAAAFwXbIcIf/zjH3/loyk2btyocePGyePxyMvLSx9%2B%2BKFtfXx8vLy8vGyPwYMH22oqKys1Y8YMBQYGqlOnTho/fny9H6AuKirSuHHj1KlTJwUGBmrmzJmqqqqy1WRnZysiIkIdO3bUbbfdptdee61ev8uXL1doaKg6duyoiIgIbdq06V/uBQAAoDZbwCouLrY9ioqKtG7dOr333nsNXl3YkHPnzmnAgAFatmzZVWtGjRpl287atWtt65OSkpSRkaG0tDRt3rxZZ8%2Be1dixY3Xp0iVJ0qVLlzRmzBidO3dOmzdvVlpamtLT0zVr1ixrjMLCQj388MMaOnSodu3apblz52rmzJlKT0%2B3alatWqWkpCTNmzdPu3bt0tChQzV69GgVFRU1uRcAAIC6vIwx5qsKLl68qJ/85Cfq16%2BfkpOT/7XBvbyUkZGhCRMmWMvi4%2BN1%2BvTpenu2apSXl6tr16764x//qEmTJkmSjh07pp49e2rt2rWKiYnRunXrNHbsWB05ckQej0eSlJaWpvj4eJWWlsrf31/PPPOMVq9ebfuJn8TERO3evVs5OTmSpEGDBmngwIFasWKFVdOvXz9NmDBBqampTeqlKSoqKuR2u1VeXi5/f/9/YQYbFzlvvaPjNacdPx/V2i0AAG4gzfn3tzH1fouwrg4dOmj27Nn6xS9%2B4dhGP/nkEwUFBemOO%2B5QQkKC9ZuHkpSXl6fq6mpFR0dbyzwej8LDw7VlyxZJUk5OjsLDw61wJUkxMTGqrKxUXl6eVVN7jJqaHTt2qLq6WlVVVcrLy6tXEx0dbW2nKb00pLKyUhUVFbYHAAC4cTQasCTp0KFDqq6udmSDo0eP1rvvvquPPvpIv/zlL7V9%2B3aNGDFClZWVkqSSkhL5%2BPgoICDA9rrg4GDrMGVJSYmCg4Nt6wMCAuTj4/OVNcHBwbp48aJOnjypkydP6tKlSw3W1B6jsV4akpqaKrfbbT169uzZ1OkBAADXAdtVhHPmzLGtNMaouLhYq1ev1mOPPebIBmsOtUlSeHi4IiMj1atXL61Zs0YTJ0686uuMMdbNTyXZ/t3UmpqjoV5eXrZ/f9UYTemlrpSUFNvh1IqKCkIWAAA3EFvAqjk3qUa7du3UtWtXLVq0SAkJCc3SQLdu3dSrVy8dPHhQkhQSEqKqqiqVlZXZ9hyVlpZqyJAhVs3WrVtt45SVlam6utraIxUSElJvL1Npaak6dOigLl26yBij9u3bN1hTe4zGemmIy%2BWSy%2BX6V6cCAABcJ2yHCDdt2mR7ZGdn6/3339eTTz4pb2/vZmng1KlTOnLkiLp16yZJioiIkLe3t7Kysqya4uJiFRQUWKEmKipKBQUFKi4utmoyMzPlcrkUERFh1dQeo6YmMjJS3t7e8vHxUURERL2arKwsaztN6QUAAKCuBm80%2BnWcPXtWf//7363nhYWFys/PV%2BfOndW5c2fNnz9fjzzyiLp166bDhw9r7ty5CgwM1He%2B8x1Jktvt1hNPPKFZs2apS5cu6ty5s2bPnq3%2B/fvrwQcflHTlRPSwsDDFxcXpF7/4hb788kvNnj1bCQkJ1lUCiYmJWrZsmZKTk5WQkKCcnBy9%2BeabWrlypdVbcnKy4uLiFBkZqaioKP32t79VUVGREhMTm9wLAABAXbaAdc899zR6/lGNbdu2Nbh8x44deuCBB6znNeciTZkyRStWrNDevXv1hz/8QadPn1a3bt30wAMPaNWqVfLz87Ne86tf/UodOnTQo48%2BqvPnz2vkyJF6%2B%2B231b59e0lS%2B/bttWbNGj355JO699575evrq9jYWC1ZssQaIzQ0VGvXrtXTTz%2BtV199VR6PRy%2B//LIeeeQRq2bSpEk6deqUFixYoOLiYoWHh2vt2rXq1atXk3sBAACoy3YfrDlz5uj111/XHXfcoaioKElSbm6uPvvsM02dOtV2XtHPfvazlu%2B2jeI%2BWFdwHywAQEtqzftg2fZgnT59WtOmTdPChQttRfPmzdPx48f1u9/9rkWbAwAAaItsJ7m/9957%2BsEPflCvKD4%2BXn/5y19arCkAAIC2zBawXC5Xg3co37JlC7cdAAAAaCLbIcKZM2cqMTFRu3bt0uDBgyVdOQfrjTfe0Ny5c1ulQQAAgLbGFrDmzZun0NBQ/eY3v9Hvf/97SVd%2B/PiNN95QbGxsqzQIAADQ1tS7D1ZsbCxhCgAA4Guo92PPFRUVevvtt/X888%2BrrKxMkrR7927bXdMBAABwdbY9WAUFBXrwwQd100036ciRI4qPj1dAQIDee%2B89HT16VO%2B8805r9QkAANBm2PZgPf3004qNjdU//vEPdezY0Vo%2BZswYbdy4scWbAwAAaItse7C2b9%2BuFStW1Pu5nO7du3OIEAAAoIlse7B8fHx09uzZekUHDx5UYGBgizUFAADQltkC1vjx4/Wzn/1MFy9elCR5eXnpiy%2B%2B0LPPPquJEye2SoMAAABtjS1g/fKXv9SxY8cUEhKi8%2BfPa8SIEbrtttvUsWPHer9PCAAAgIbZzsFyu93asmWLsrKytHPnTl2%2BfFkDBw5UTExMvfOyAAAA0DArYFVXV%2Bvhhx/W8uXLFR0drejo6NbsCwAAoM2yDhF6e3tr165d7KkCAAD4mmznYD3%2B%2BON66623WqsXAACA60K93yJctmyZNmzYoMjISHXq1Mm27qWXXmqxxgAAANoqW8DKy8vTXXfdJUnas2ePrZBDhwAAAE3TQZIOHTqk0NBQbdq0qbX7AQAAaPPaSdLtt9%2BuEydOWAsnTZqk48ePt1pTAAAAbVk7STLG2BauXbtW586da5WGAAAA2rp2jZcAAADgX9FOunICe92T2DmpHQAA4N/TQbpyiDA%2BPl4ul0uSdOHCBSUmJta7TcMHH3zQ8h0CAAC0MR0kacqUKbaFjz/%2BeKs0AwAAcD3oIIm7twMAADiIk9wBAAAcRsACAABwGAELAADAYQQsAAAAhxGwAAAAHEbAAgAAcBgBCwAAwGEELAAAAIcRsAAAABxGwAIAAHAYAQsAAMBhBCwAAACHEbAAAAAcRsACAABwmOMBa%2BPGjRo3bpw8Ho%2B8vLz04Ycf2tYbYzR//nx5PB75%2Bvpq%2BPDh2rdvn62mrKxMcXFxcrvdcrvdiouL0%2BnTp201e/fu1bBhw%2BTr66vu3btrwYIFMsbYatLT0xUWFiaXy6WwsDBlZGQ0Sy8AAAC1OR6wzp07pwEDBmjZsmUNrn/ppZe0dOlSLVu2TNu3b1dISIgeeughnTkH/E3gAAAXb0lEQVRzxqqJjY1Vfn6%2B1q9fr/Xr1ys/P19xcXHW%2BoqKCj300EPyeDzavn27XnnlFS1ZskRLly61anJycjRp0iTFxcVp9%2B7diouL06OPPqqtW7c62gsAAEBdXqbubh8nB/fyUkZGhiZMmCDpyh4jj8ejpKQkPfPMM5KkyspKBQcHa/HixZo6daoOHDigsLAw5ebmatCgQZKk3NxcRUVF6dNPP1WfPn20YsUKpaSk6Pjx43K5XJKkRYsW6ZVXXtHRo0fl5eWlSZMmqaKiQuvWrbP6GTVqlAICArRy5UrHemmKiooKud1ulZeXy9/f35nJ/T%2BR89Y7Ol5z2vHzUa3dAgDgBtKcf38b06LnYBUWFqqkpETR0dHWMpfLpWHDhmnLli2Srux5crvdVqCRpMGDB8vtdttqhg0bZoUrSYqJidGxY8d0%2BPBhq6b2dmpqasZwqpeGVFZWqqKiwvYAAAA3jhYNWCUlJZKk4OBg2/Lg4GBrXUlJiYKCguq9NigoyFbT0Bi1t3G1mtrrneilIampqdY5W263Wz179rxqLQAAuP60ylWEXl5etufGGNuyuuubUlNzpLOxmrrLnOilrpSUFJWXl1uPI0eOXLUWAABcf1o0YIWEhEhSvb0/paWl1p6kkJAQHT9%2BvN5rT5w4YatpaAxJjdbUXu9ELw1xuVzy9/e3PQAAwI2jRQNWaGioQkJClJWVZS2rqqpSdna2hgwZIkmKiopSeXm5tm3bZtVs3bpV5eXltpqNGzeqqqrKqsnMzJTH49Gtt95q1dTeTk1NzRhO9QIAAFBXB6cHPHv2rP7%2B979bzwsLC5Wfn6/OnTvrlltuUVJSkhYuXKjbb79dt99%2BuxYuXKibbrpJsbGxkqR%2B/fpp1KhRSkhI0Ouvvy5J%2BvGPf6yxY8daV%2B3FxsbqxRdfVHx8vObOnauDBw9q4cKFev75561Dd0899ZTuv/9%2BLV68WN/%2B9rf117/%2BVRs2bNDmzZslXTn050QvAAAAdTkesHbs2KEHHnjAep6cnCxJmjJlit5%2B%2B23NmTNH58%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%2BfL4/HI19fXw0fPlz79u2zjVFWVqa4uDi53W653W7FxcXp9OnTtpq9e/dq2LBh8vX1Vffu3bVgwQIZY2w16enpCgsLk8vlUlhYmDIyMmzrm9ILAABAba22B%2BvOO%2B9UcXGx9di7d6%2B17qWXXtLSpUu1bNkybd%2B%2BXSEhIXrooYd05swZqyY2Nlb5%2Bflav3691q9fr/z8fMXFxVnrKyoq9NBDD8nj8Wj79u165ZVXtGTJEi1dutSqycnJ0aRJkxQXF6fdu3crLi5Ojz76qLZu3fov9QIAAFCbl6m7S6cFzJ8/Xx9%2B%2BKHy8/PrrTPGyOPxKCkpSc8884wkqbKyUsHBwVq8eLGmTp2qAwcOKCwsTLm5uRo0aJAkKTc3V1FRUfr000/Vp08frVixQikpKTp%2B/LhcLpckadGiRXrllVd09OhReXl5adKkSaqoqNC6deus7Y8aNUoBAQFauXJlk3ppioqKCrndbpWXl8vf3/9rzV1dkfPWOzpec9rx81Gt3QIA4AbSnH9/G9Nqe7AOHjwoj8ej0NBQTZ48WYcOHZIkFRYWqqSkRNHR0Vaty%2BXSsGHDtGXLFklX9jy53W4rXEnS4MGD5Xa7bTXDhg2zwpUkxcTE6NixYzp8%2BLBVU3s7NTU1YzSll4ZUVlaqoqLC9gAAADeOVglYgwYN0h/%2B8Af97W9/0xtvvKGSkhINGTJEp06dUklJiSQpODjY9prg4GBrXUlJiYKCguqNGxQUZKtpaIyadV9VU3t9Y700JDU11To3zO12q2fPnl8xGwAA4HrTKgFr9OjReuSRR9S/f389%2BOCDWrNmjSTpnXfesWq8vLxsrzHG2JbVXd%2BUmpqjoY3V1F3WlJraUlJSVF5ebj2OHDly1VoAAHD9uSZu09CpUyf1799fBw8etK4mrLuHqLS01NqTFBISouPHj9cb58SJE7aahsaQ1GhN7fWN9dIQl8slf39/2wMAANw4romAVVlZqQMHDqhbt24KDQ1VSEiIsrKyrPVVVVXKzs7WkCFDJElRUVEqLy/Xtm3brJqtW7eqvLzcVrNx40ZVVVVZNZmZmfJ4PLr11lutmtrbqampGaMpvQAAANTVKgFr9uzZys7OVmFhobZu3arvfve7qqio0JQpU%2BTl5aWkpCQtXLhQGRkZKigoUHx8vG666SbFxsZKkvr166dRo0YpISFBubm5ys3NVUJCgsaOHas%2BffpIunIbB5fLpfj4eBUUFCgjI0MLFy5UcnKydXjvqaeeUmZmphYvXqxPP/1Uixcv1oYNG5SUlCRJTeoFAACgrg6tsdGjR4/q%2B9//vk6ePKmuXbtq8ODBys3NVa9evSRJc%2BbM0fnz5/Xkk0%2BqrKxMgwYNUmZmpvz8/Kwx3n33Xc2cOdO6wm/8%2BPFatmyZtd7tdisrK0vTpk1TZGSkAgIClJycrOTkZKtmyJAhSktL009/%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%2BzuTTH%2BwcA4Gpq/u4YY1p82wSsRpw8eVKXLl1ScHCwbXlwcLBKSkoafE1qaqpefPHFest79uzZLD22Fe5ftnYHAIAb0ZkzZ%2BR2u1t0mwSsJvLy8rI9N8bUW1YjJSVFycnJ1vPLly/ryy%2B/VJcuXa76mn9HRUWFevbsqSNHjsjf39%2Bxca8HzM3VMTcNY16ujrm5Oubm6q6FuTHG6MyZM/J4PC2%2BbQJWIwIDA9W%2Bfft6e6tKS0vr7dWq4XK55HK5bMtuvvnmZuvR39%2BfL/ZVMDdXx9w0jHm5Oubm6pibq2vtuWnpPVc1OMm9ET4%2BPoqIiFBWVpZteVZWloYMGdJKXQEAgGsZe7CaIDk5WXFxcYqMjFRUVJR%2B%2B9vfqqioSImJia3dGgAAuAa1nz9//vzWbuJaFx4eri5dumjhwoVasmSJzp8/rz/%2B8Y8aMGBAa7em9u3ba/jw4erQgaxcF3NzdcxNw5iXq2Nuro65ubobeW68TGtcuwgAAHAd4xwsAAAAhxGwAAAAHEbAAgAAcBgBCwAAwGEErDZq%2BfLlCg0NVceOHRUREaFNmza1dktfy/z58%2BXl5WV7hISEWOuNMZo/f748Ho98fX01fPhw7du3zzZGWVmZ4uLi5Ha75Xa7FRcXp9OnT9tq9u7dq2HDhsnX11fdu3fXggUL6v1GVXp6usLCwuRyuRQWFqaMjIzme%2BMN2Lhxo8aNGyePxyMvLy99%2BOGHtvXX0lw0pRcnNTY38fHx9T5HgwcPttVUVlZqxowZCgwMVKdOnTR%2B/HgdPXrUVlNUVKRx48apU6dOCgwM1MyZM1VVVWWryc7OVkREhDp27KjbbrtNr732Wr1%2BW%2Bp7mpqaqnvuuUd%2Bfn4KCgrShAkT9Nlnn9lqrqX33ZRenNKUuRk%2BfHi9z83kyZNtNdfjd2rFihW66667rBuBRkVFad26ddb6G/Uz4xiDNictLc14e3ubN954w%2Bzfv9889dRTplOnTubzzz9v7db%2BbS%2B88IK58847TXFxsfUoLS211i9atMj4%2BfmZ9PR0s3fvXjNp0iTTrVs3U1FRYdWMGjXKhIeHmy1btpgtW7aY8PBwM3bsWGt9eXm5CQ4ONpMnTzZ79%2B416enpxs/PzyxZssSq2bJli2nfvr1ZuHChOXDggFm4cKHp0KGDyc3NbZmJMMasXbvWzJs3z6SnpxtJJiMjw7b%2BWpqLpvTSknMzZcoUM2rUKNvn6NSpU7aaxMRE0717d5OVlWV27txpHnjgATNgwABz8eJFY4wxFy9eNOHh4eaBBx4wO3fuNFlZWcbj8Zjp06dbYxw6dMjcdNNN5qmnnjL79%2B83b7zxhvH29jbvv/%2B%2BVdOS39OYmBjz1ltvmYKCApOfn2/GjBljbrnlFnP27Nlr8n031ktLz82wYcNMQkKC7XNz%2BvRp2zjX43dq9erVZs2aNeazzz4zn332mZk7d67x9vY2BQUFxpgb9zPjFAJWG/Stb33LJCYm2pb17dvXPPvss63U0df3wgsvmAEDBjS47vLlyyYkJMQsWrTIWnbhwgXjdrvNa6%2B9ZowxZv/%2B/UaS7X%2BocnJyjCTz6aefGmOMWb58uXG73ebChQtWTWpqqvF4POby5cvGGGMeffRRM2rUKNv2Y2JizOTJk515o/%2BiuiHiWpqLpvTSnK4WsL797W9f9TWnT5823t7eJi0tzVr2xRdfmHbt2pn169cbY66EuHbt2pkvvvjCqlm5cqVxuVymvLzcGGPMnDlzTN%2B%2BfW1jT5061QwePNh63prf09LSUiPJZGdnG2OurffdlF6aU925MeZKwHrqqaeu%2Bpob5TtljDEBAQHmd7/7HZ8ZB3CIsI2pqqpSXl6eoqOjbcujo6O1ZcuWVurKGQcPHpTH41FoaKgmT56sQ4cOSZIKCwtVUlJie88ul0vDhg2z3nNOTo7cbrcGDRpk1QwePFhut9tWM2zYMNvvRMbExOjYsWM6fPiwVVN3bmNiYq6Zub2W5qIpvbSGTz75REFBQbrjjjuUkJCg0tJSa11eXp6qq6ttPXs8HoWHh9vmJjw83PbjsDExMaqsrFReXp5V09Dc7NixQ9XV1a3%2BPS0vL5ckde7cWdK19b6b0ktzqjs3Nd59910FBgbqzjvv1OzZs3XmzBlr3Y3wnbp06ZLS0tJ07tw5RUVF8ZlxwI13a9U27uTJk7p06VK9H5oODg6u94PUbcmgQYP0hz/8QXfccYeOHz%2Bu//qv/9KQIUO0b98%2B63019J4///xzSVJJSYmCgoLqjRsUFGS9vqSkRLfeemu9MWrWhYaGqqSk5Jqe22tpLprSS0sbPXq0vve976lXr14qLCzUc889pxEjRigvL08ul0slJSXy8fFRQEBAvZ5rv6%2B67ykgIEA%2BPj5fWRMcHKyLFy/q5MmTMsa02vfUGKPk5GTdd999Cg8Pt/q9Vt53U3ppLg3NjSQ99thjCg0NVUhIiAoKCpSSkqLdu3dbv0F7PX%2Bn9u7dq6ioKF24cEHf%2BMY3lJGRobCwMOXn5/OZ%2BZoIWG2Ul5eX7bkxpt6ytmT06NHWv/v376%2BoqCj17t1b77zzjnWScmPvuaH331iN%2Bb8TUBurudbm9lqai2tpviZNmmT9Ozw8XJGRkerVq5fWrFmjiRMnXvV1Ts9fQ3PZ0BjNYfr06dqzZ482b97caO219L5bc24SEhKsf4eHh%2Bv2229XZGSkdu7cqYEDB0q6fr9Tffr0UX5%2Bvk6fPq309HRNmTJF2dnZV62/0T4zXweHCNuYwMBAtW/fvl5qLy0trff/ANqyTp06qX///jp48KB1NeFXveeQkBAdP3683jgnTpyw1TQ0hqRGa66Vub2W5qIpvbS2bt26qVevXjp48KCkKz1XVVWprKzMVlf3fdV9T2VlZaqurm50bjp06KAuXbq02vd0xowZWr16tT7%2B%2BGP16NHDWn4tve%2Bm9NIcrjY3DRk4cKC8vb1tn5vr9Tvl4%2BOjb37zm4qMjFRqaqoGDBig3/zmN3xmHEDAamN8fHwUERFh7bqukZWVpSFDhrRSV86rrKzUgQMH1K1bN2vXfe33XFVVpezsbOs9R0VFqby8XNu2bbNqtm7dqvLyclvNxo0bbZcQZ2ZmyuPxWLv2o6Ki6s1tZmbmNTO319JcNKWX1nbq1CkdOXJE3bp1kyRFRETI29vb1nNxcbEKCgpsc1NQUKDi4mKrJjMzUy6XSxEREVZNQ3MTGRkpb2/vFv%2BeGmM0ffp0ffDBB/roo48UGhpqW38tve%2Bm9OKkxuamIfv27VN1dbX1ubmRvlPGGFVWVt7QnxnHNOMJ9GgmNZe0vvnmm2b//v0mKSnJdOrUyRw%2BfLi1W/u3zZo1y3zyySfm0KFDJjc314wdO9b4%2BflZ72nRokXG7XabDz74wOzdu9d8//vfb/DWBHfddZfJyckxOTk5pn///rbLqE%2BfPm2Cg4PN97//fbN3717zwQcfGH9/f9tl1P/zP/9j2rdvbxYtWmQOHDhgFi1a1OK3aThz5ozZtWuX2bVrl5Fkli5danbt2mVdsnwtzUVTemmpuTlz5oyZNWuW2bJliyksLDQff/yxiYqKMt27d7f1k5iYaHr06GE2bNhgdu7caUaMGNHgpecjR440O3fuNBs2bDA9evRo8NLzp59%2B2uzfv9%2B8%2BeabV730vCW%2Bpz/5yU%2BM2%2B02n3zyie1WA//85z%2BvyffdWC8tOTd///vfzYsvvmi2b99uCgsLzZo1a0zfvn3N3XffbevnevxOpaSkmI0bN5rCwkKzZ88eM3fuXNOuXTuTmZlpjLlxPzNOIWC1Ua%2B%2B%2Bqrp1auX8fHxMQMHDrRdctwW1dzrxdvb23g8HjNx4kSzb98%2Ba/3ly5fNCy%2B8YEJCQozL5TL333%2B/2bt3r22MU6dOmccee8z4%2BfkZPz8/89hjj5mysjJbzZ49e8zQoUONy%2BUyISEhZv78%2BdYl1DX%2B8pe/mD59%2Bhhvb2/Tt29fk56e3nxvvAEff/yxkVTvMWXKFGPMtTUXTenFSV81N//85z9NdHS06dq1q/H29ja33HKLmTJliikqKrKNcf78eTN9%2BnTTuXNn4%2Bvra8aOHVuv5vPPPzdjxowxvr6%2BpnPnzmb69Om2y%2B%2BNMeaTTz4xd999t/Hx8TG33nqrWbFiRb1%2BW%2Bp72tCcSDJvvfXWNfm%2Bm9KLUxqbm6KiInP//febzp07Gx8fH9O7d28zc%2BbMevdPux6/Uz/84Q%2Bt/05du3Y1I0eOtMKVMTfuZ8YpXsbUuc0sAAAAvhbOwQIAAHAYAQsAAMBhBCwAAACHEbAAAAAcRsACAABwGAELAADAYQQsAAAAhxGwAAAAHEbAAgAAcBgBCwAAwGEELAAAAIcRsAAAABxGwAIAAHAYAQsAAMBhBCwAAACHEbAAAAAcRsACAABwGAELAADAYf8frNW%2BUd5HgQgAAAAASUVORK5CYII%3D\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-7619577915013301685\">\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">299.0</td>\n",
       "        <td class=\"number\">291352</td>\n",
       "        <td class=\"number\">9.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:20%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">399.0</td>\n",
       "        <td class=\"number\">242603</td>\n",
       "        <td class=\"number\">8.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:17%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">149.0</td>\n",
       "        <td class=\"number\">218432</td>\n",
       "        <td class=\"number\">7.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:15%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">199.0</td>\n",
       "        <td class=\"number\">184044</td>\n",
       "        <td class=\"number\">6.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:13%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">349.0</td>\n",
       "        <td class=\"number\">101461</td>\n",
       "        <td class=\"number\">3.5%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">599.0</td>\n",
       "        <td class=\"number\">95673</td>\n",
       "        <td class=\"number\">3.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">999.0</td>\n",
       "        <td class=\"number\">82784</td>\n",
       "        <td class=\"number\">2.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">799.0</td>\n",
       "        <td class=\"number\">77882</td>\n",
       "        <td class=\"number\">2.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">249.0</td>\n",
       "        <td class=\"number\">77685</td>\n",
       "        <td class=\"number\">2.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">699.0</td>\n",
       "        <td class=\"number\">76493</td>\n",
       "        <td class=\"number\">2.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"other\">\n",
       "        <td class=\"fillremaining\">Other values (19983)</td>\n",
       "        <td class=\"number\">1487440</td>\n",
       "        <td class=\"number\">50.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme-7619577915013301685\">\n",
       "            <p class=\"h4\">Minimum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">-1.0</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.07</td>\n",
       "        <td class=\"number\">2</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.0875</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.09</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.1</td>\n",
       "        <td class=\"number\">2932</td>\n",
       "        <td class=\"number\">0.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "            <p class=\"h4\">Maximum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">42990.0</td>\n",
       "        <td class=\"number\">4</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">49782.0</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:25%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">50999.0</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:25%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">59200.0</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:25%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">307980.0</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:25%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_shop_id\">shop_id<br/>\n",
       "            <small>Numeric</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-6\">\n",
       "    <div class=\"row\">\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "                <tr>\n",
       "                    <th>Distinct count</th>\n",
       "                    <td>60</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "\n",
       "        </div>\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "\n",
       "                <tr>\n",
       "                    <th>Mean</th>\n",
       "                    <td>33.002</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>59</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Zeros (%)</th>\n",
       "                    <td>0.3%</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram-225542972129920154\">\n",
       "    <img src=\"%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAAcxJREFUeJzt2kHO0kAcxuF/v7gt7Am9hYfwTq5deh8P4S0gHKCNCxdSF8q3Ud98mDCF8jxLGjIDzC/TZujmeZ6rsePxWMMwtB6WB3c4HGq/3zcd813T0X7r%2B76qfn3gzWazxBR4IOM41jAMr%2BumpUUC6bquqqo2m82qA3n/8cvV7/n66cMNZrIOl3XT0kvzEeGBCAQCgUAgEAgEAoFAIBAIBAKBYJGDQp7DGg5K7SAQCAQCgUAgEAgEAoFAIBAIBAKBwEHhnVnD4dqaCOQJifDt3GJBIBAIBAKBQCAQCAQCgUAgEAgEAgeFvMn/HC6uwdMG8qw/ONdxiwWBQCAQCASreAbxPMGt2EEguLsdxG5wPd/Z7dhBIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBIv81WSe56qqGsfxj2s/vn9rPR3uyN/WxOW1y7ppaZFApmmqqqphGJYYnju2/fzva9M01Xa7bTeZqurmBbI8n891Op2q7/vquq718DyYeZ5rmqba7Xb18tL2qWCRQOBReEiHQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIPgJkbFQgm5WaYYAAAAASUVORK5CYII%3D\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-225542972129920154,#minihistogram-225542972129920154\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives-225542972129920154\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-225542972129920154\"\n",
       "                                                  aria-controls=\"quantiles-225542972129920154\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram-225542972129920154\" aria-controls=\"histogram-225542972129920154\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common-225542972129920154\" aria-controls=\"common-225542972129920154\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme-225542972129920154\" aria-controls=\"extreme-225542972129920154\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
       "\n",
       "    </ul>\n",
       "\n",
       "    <div class=\"tab-content\">\n",
       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-225542972129920154\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>6</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>22</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>31</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>47</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>57</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>59</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>59</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>25</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "            <div class=\"col-md-4 col-md-offset-2\">\n",
       "                <p class=\"h4\">Descriptive statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Standard deviation</th>\n",
       "                        <td>16.227</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>0.4917</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>-1.0254</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>33.002</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>13.83</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>-0.072361</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>96888091</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>263.31</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>22.4 MiB</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-225542972129920154\">\n",
       "            <img src=\"%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJzt3X90VPWd//HXmB%2BTQMkYCGQYoTRSa4kBKokLCVKoSACN1LUtUWoKrU1NRTAGVkT6A92VoCK2GInF2vpzDXYxLl0BE7c2QEn4EQkGRcsp2ARJCGDIAF9IIHy%2Bf7C5zZBIJvaGYcjzcc49J3M/7/nctx/J5HXu3LnjMMYYAQAAwDaXBboBAACASw0BCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGahgW6gOzhz5oz279%2BvXr16yeFwBLodAAC6BWOMjh49Ko/Ho8suu7DnlAhYF8D%2B/fs1cODAQLcBAEC3VF1drQEDBlzQYxKwLoBevXpJOvs/OCoqKsDdAADQPXi9Xg0cOND6O3whEbAugJa3BaOioghYAABcYIG4PIeL3AEAAGxGwAIAALAZAQsAAMBmAQtYn376qe6880716dNHPXr00De%2B8Q2Vl5db48YYLVy4UB6PR5GRkRo3bpw%2B%2BOADnznq6%2BuVkZEhl8sll8uljIwMHTlyxKemsrJSY8eOVWRkpK644go98sgjMsb41KxatUrx8fFyOp2Kj49XYWGhz7g/vQAAALQISMCqr6/X6NGjFRYWprVr1%2BrDDz/Uk08%2Bqcsvv9yqefzxx7V06VLl5eVp69atcrvdmjBhgo4ePWrVTJs2TRUVFVq3bp3WrVuniooKZWRkWONer1cTJkyQx%2BPR1q1b9fTTT2vJkiVaunSpVVNaWqr09HRlZGRox44dysjI0NSpU7V58%2BZO9QIAAGAxATBv3jxz/fXXf%2B74mTNnjNvtNosXL7b2nTx50rhcLvPss88aY4z58MMPjSRTVlZm1ZSWlhpJ5qOPPjLGGLN8%2BXLjcrnMyZMnrZrc3Fzj8XjMmTNnjDHGTJ061UyaNMnn%2BBMnTjS333673710pKGhwUgyDQ0NftUDAIB/XiD//gbkDNbq1auVlJSk733ve%2BrXr5%2BuvfZaPffcc9b43r17VVtbq9TUVGuf0%2BnU2LFjtWnTJklnzzy5XC6NHDnSqhk1apRcLpdPzdixY%2BV0Oq2aiRMnav/%2B/frkk0%2BsmtbHaalpmcOfXs7V2Ngor9frswEAgO4jIAFrz549ys/P11VXXaW3335bWVlZmj17tl566SVJUm1trSQpNjbW53mxsbHWWG1trfr169dm7n79%2BvnUtDdH62N8Xk3r8Y56OVdubq51XZjL5eIu7gAAdDMBCVhnzpzRiBEjtGjRIl177bW6%2B%2B67lZmZqfz8fJ%2B6c28MZozx2dfejcM6qjH/d4F7RzXn7vOnpsX8%2BfPV0NBgbdXV1e3WAQCAS1NAAlb//v0VHx/vs2/IkCGqqqqSJLndbklqc4aorq7OOpPkdrt14MCBNnMfPHjQp6a9OSR1WNN6vKNezuV0Oq27tnP3dgAAup%2BABKzRo0fr448/9tn317/%2BVYMGDZIkxcXFye12q7i42BpvampSSUmJUlJSJEnJyclqaGjQli1brJrNmzeroaHBp2b9%2BvVqamqyaoqKiuTxePSVr3zFqml9nJaaljn86QUAAMDHBb%2Bs3hizZcsWExoaah599FGze/du8%2Bqrr5oePXqYV155xapZvHixcblc5o033jCVlZXmjjvuMP379zder9eqmTRpkhk2bJgpLS01paWlZujQoSYtLc0aP3LkiImNjTV33HGHqaysNG%2B88YaJiooyS5YssWr%2B8pe/mJCQELN48WKza9cus3jxYhMaGurz6UR/ejkfPkUIAMCFF8i/vw5jzrnr5gXyP//zP5o/f752796tuLg45eTkKDMzs3Xw08MPP6zf/OY3qq%2Bv18iRI/XMM88oISHBqvnss880e/ZsrV69WpI0ZcoU5eXl%2BdxPq7KyUjNnztSWLVsUHR2trKws/eIXv/C5fuq//uu/9LOf/Ux79uzR4MGD9eijj%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%2BPh4OZ1OxcfHq7Cw0Gfcn14AAABaC9gZrGuuuUY1NTXWVllZaY09/vjjWrp0qfLy8rR161a53W5NmDBBR48etWqmTZumiooKrVu3TuvWrVNFRYUyMjKsca/XqwkTJsjj8Wjr1q16%2BumntWTJEi1dutSqKS0tVXp6ujIyMrRjxw5lZGRo6tSp2rx5c6d6AQAAaM1hzj2lcwEsXLhQb775pioqKtqMGWPk8XiUnZ2tefPmSZIaGxsVGxurxx57THfffbd27dql%2BPh4lZWVaeTIkZKksrIyJScn66OPPtLVV1%2Bt/Px8zZ8/XwcOHJDT6ZQkLV68WE8//bT27dsnh8Oh9PR0eb1erV271jr%2BpEmTFB0drddee82vXvzh9XrlcrnU0NCgqKiof2rtgEtB0oJ1gW6hU7Y9OinQLQD4AgL59zdgZ7B2794tj8ejuLg43X777dqzZ48kae/evaqtrVVqaqpV63Q6NXbsWG3atEnS2TNPLpfLCleSNGrUKLlcLp%2BasWPHWuFKkiZOnKj9%2B/frk08%2BsWpaH6elpmUOf3oBAAA4V0AC1siRI/XSSy/p7bff1nPPPafa2lqlpKTo8OHDqq2tlSTFxsb6PCc2NtYaq62tVb9%2B/drM269fP5%2Ba9uZoGTtfTevxjnppT2Njo7xer88GAAC6j9BAHHTy5MnWz0OHDlVycrIGDx6sF198UaNGjZIkORwOn%2BcYY3z2nTvuT03Lu6Ed1Zy7z5%2Ba1nJzc/Xwww9/7jgAALi0XRS3aejZs6eGDh2q3bt3W58mPPcMUV1dnXUmye1268CBA23mOXjwoE9Ne3NI6rCm9XhHvbRn/vz5amhosLbq6urz/NcDAIBLzUURsBobG7Vr1y71799fcXFxcrvdKi4utsabmppUUlKilJQUSVJycrIaGhq0ZcsWq2bz5s1qaGjwqVm/fr2ampqsmqKiInk8Hn3lK1%2Bxalofp6WmZQ5/emmP0%2BlUVFSUzwYAALqPgASsuXPnqqSkRHv37tXmzZv13e9%2BV16vV9OnT5fD4VB2drYWLVqkwsJC7dy5UzNmzFCPHj00bdo0SdKQIUM0adIkZWZmqqysTGVlZcrMzFRaWpquvvpqSWdv4%2BB0OjVjxgzt3LlThYWFWrRokXJycqy39%2B677z4VFRXpscce00cffaTHHntM77zzjrKzsyXJr14AAADOFZBrsPbt26c77rhDhw4dUt%2B%2BfTVq1CiVlZVp0KBBkqQHHnhAJ06c0D333KP6%2BnqNHDlSRUVF6tWrlzXHq6%2B%2BqtmzZ1uf8JsyZYry8vKscZfLpeLiYs2cOVNJSUmKjo5WTk6OcnJyrJqUlBQVFBToZz/7mX7%2B859r8ODBWrlypc%2BnE/3pBQAAoLWA3Aeru%2BE%2BWIAv7oMF4ELolvfBAgAAuFQRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbBeQ2DQAAoOsF0yd2L7VP63IGCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbBbwgJWbmyuHw6Hs7GxrX2Njo2bNmqWYmBj17NlTU6ZM0b59%2B3yeV1VVpVtuuUU9e/ZUTEyMZs%2BeraamJp%2BakpISJSYmKiIiQldeeaWeffbZNsdfvny54uLiFBERocTERG3YsMFn3J9eAAAAWgtowNq6datWrFihYcOG%2BezPzs5WYWGhCgoKtHHjRh07dkxpaWlqbm6WJDU3N%2Bvmm2/W8ePHtXHjRhUUFGjVqlWaM2eONcfevXt10003acyYMdq%2BfbseeughzZ49W6tWrbJqVq5cqezsbC1YsEDbt2/XmDFjNHnyZFVVVfndCwAAwLkcxhgTiAMfO3ZMI0aM0PLly/Uf//Ef%2BsY3vqFf/epXamhoUN%2B%2BffXyyy8rPT1dkrR//34NHDhQa9as0cSJE7V27VqlpaWpurpaHo9HklRQUKAZM2aorq5OUVFRmjdvnlavXq1du3ZZx8zKytKOHTtUWloqSRo5cqRGjBih/Px8q2bIkCG69dZblZub61cv/vB6vXK5XGpoaFBUVJQt6wcEs6QF6wLdQqdse3RSoFsAvpBg%2Bl3rit%2BzQP79DdgZrJkzZ%2Brmm2/WjTfe6LO/vLxcp06dUmpqqrXP4/EoISFBmzZtkiSVlpYqISHBCleSNHHiRDU2Nqq8vNyqaT1HS822bdt06tQpNTU1qby8vE1NamqqdRx/emlPY2OjvF6vzwYAALqP0EActKCgQOXl5dq2bVubsdraWoWHhys6Otpnf2xsrGpra62a2NhYn/Ho6GiFh4eftyY2NlanT5/WoUOHZIxRc3NzuzWt5%2Biol/bk5ubq4YcfPt8SAACAS9gFP4NVXV2t%2B%2B67T6%2B%2B%2BqoiIiL8fp4xRg6Hw3rc%2Bmd/a1reDe2opr25O1Mzf/58NTQ0WFt1dfV55wMAAJeWCx6wysvLVVdXp8TERIWGhio0NFQlJSVatmyZQkNDFRsbq6amJtXX1/s8r66uzjrb5Ha725xBqq%2Bv16lTp85bU1dXp9DQUPXp00cxMTEKCQlpt6b1HB310h6n06moqCifDQAAdB8XPGCNHz9elZWVqqiosLakpCR9//vft34OCwtTcXGx9Zyamhrt3LlTKSkpkqTk5GTt3LlTNTU1Vk1RUZGcTqcSExOtmtZztNS0zB8eHq7ExMQ2NcXFxdZxEhMTO%2BwFAADgXBf8GqxevXopISHBZ1/Pnj3Vp08fa/9dd92lOXPmqE%2BfPurdu7fmzp2roUOHWhfEp6amKj4%2BXhkZGXriiSf02Wefae7cucrMzLTOFmVlZSkvL085OTnKzMxUaWmpnn/%2Beb322mvWcXNycpSRkaGkpCQlJydrxYoVqqqqUlZWliTJ5XJ12AsAAMC5AnKRe0eeeuophYaGaurUqTpx4oTGjx%2BvF154QSEhIZKkkJAQvfXWW7rnnns0evRoRUZGatq0aVqyZIk1R1xcnNasWaP7779fzzzzjDwej5YtW6bvfOc7Vk16eroOHz6sRx55RDU1NUpISNCaNWs0aNAgv3sBAAA4V8Dug9WdcB8swFcw3ZtH4j5YCF7B9LvGfbAAAABwXgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJt1KmC98sorOnnyZFf1AgAAcEnoVMDKycmR2%2B3W3XffrS1btnRVTwAAAEGtUwFr//79%2Bt3vfqeamhpdf/31uuaaa/Tkk0/q4MGDXdUfAABA0OlUwAoNDdVtt92m1atXq6qqStOnT9fvfvc7DRgwQLfddpveeustcWN4AADQ3X3hi9zdbrfGjx%2BvcePGyeFwaNu2bZo2bZquuuoqbdiwwc4eAQAAgkqnA9ahQ4f0q1/9SsOHD9fo0aNVV1enN998U3//%2B9/16aefKi0tTT/4wQ%2B6olcAAICgENqZ4n/913/VmjVrFBcXpx//%2BMeaPn26%2Bvbta41/6Utf0gMPPKBly5bZ3igABEowfWGuxJdTAxeDTgWsqKgovfPOOxozZszn1vTv31%2B7d%2B/%2BpxsDAAAIVp0KWC%2B%2B%2BGKHNQ6HQ4MHD/7CDQEAAAS7Tl2Ddf/99ysvL6/N/meeeUZz5syxrSkAAIBg1qmA9Yc//EGjRo1qsz85OVkrV660rSkAAIBg1qmAdejQIUVHR7fZHxUVpUOHDtnWFAAAQDDrVMAaPHiw3n777Tb73377bcXFxdnWFAAAQDDr1EXu2dnZys7O1uHDh3XDDTdIkv73f/9Xjz/%2BuJYsWdIlDQIAAASbTgWszMxMnTx5UosWLdIvf/lLSdKAAQO0bNky/ehHP%2BqSBgEAAIJNpwKWJM2aNUuzZs1STU2NIiMjdfnll3dFXwCAboCbuOJS1emA1aJ///529gEAAHDJ6NRF7gcPHtQPf/hDffnLX1ZERITCw8N9NgAAAHTyDNaMGTP0t7/9Tf/2b/%2Bm/v37y%2BFwdFVfAAAAQatTAWv9%2BvVav369rr322q7qBwAAIOh16i3CAQMGcNYKAACgA50KWE899ZTmz5%2Bvffv2dVU/AAAAQa9TbxFmZGTo6NGjGjRokKKiohQWFuYzXldXZ2tzAAAAwahTAWvx4sVd1QcAAMAlo1MB66677uqqPgAAAC4ZnboGS5I%2B%2BeQTLVy4UBkZGdZbgkVFRdq1a5ftzQEAAASjTgWsDRs26JprrlFJSYlef/11HTt2TJL03nvv6Re/%2BEWXNAgAABBsOhWw5s2bp4ULF%2Brdd9/1uXP7DTfcoLKyMtubAwAACEadCljvv/%2B%2Bvvvd77bZ369fPx08eNC2pgAAAIJZpwLW5Zdfrtra2jb7KyoqdMUVV9jWFAAAQDDrVMC6/fbb9eCDD%2BrgwYPWHd03b96suXPn6s477%2BySBgEAAIJNpwLWokWL5Ha71b9/fx07dkzx8fFKSUnRddddp5///Odd1SMAAEBQ6dR9sMLDw7Vy5Ur99a9/1XvvvaczZ85oxIgR%2BvrXv95V/QEAAASdTgWsFl/72tf0ta99ze5eAAAALgmdClg/%2BclPzju%2BYsWKf6oZAACAS0GnrsGqqanx2aqqqrR27Vq9/vrr7X668PPk5%2Bdr2LBhioqKUlRUlJKTk7V27VprvLGxUbNmzVJMTIx69uypKVOmaN%2B%2BfT5zVFVV6ZZbblHPnj0VExOj2bNnq6mpyaempKREiYmJioiI0JVXXqlnn322TS/Lly9XXFycIiIilJiYqA0bNviM%2B9MLAABAa506g/XHP/6xzb7Tp0/rpz/9qYYMGeL3PAMGDNDixYv11a9%2BVZL04osv6tvf/ra2b9%2Bua665RtnZ2frjH/%2BogoIC9enTR3PmzFFaWprKy8sVEhKi5uZm3Xzzzerbt682btyow4cPa/r06TLG6Omnn5Yk7d27VzfddJMyMzP1yiuv6C9/%2BYvuuece9e3bV9/5znckSStXrlR2draWL1%2Bu0aNH6ze/%2BY0mT56sDz/8UF/%2B8pclqcNeAAAAzuUwxph/dpKPP/5Y48aNU01NzReeo3fv3nriiSf03e9%2BV3379tXLL7%2Bs9PR0SdL%2B/fs1cOBArVmzRhMnTtTatWuVlpam6upqeTweSVJBQYFmzJihuro6RUVFad68eVq9erXPdyRmZWVpx44dKi0tlSSNHDlSI0aMUH5%2BvlUzZMgQ3XrrrcrNzVVDQ0OHvfjD6/XK5XKpoaFBUVFRX3iNgEtF0oJ1gW7hkrbt0UmBbsFvwfZvIZjWVgqu9e2KtQ3k399Of9lze/bs2aNTp059oec2NzeroKBAx48fV3JyssrLy3Xq1CmlpqZaNR6PRwkJCdq0aZMkqbS0VAkJCVa4kqSJEyeqsbFR5eXlVk3rOVpqtm3bplOnTqmpqUnl5eVtalJTU63j%2BNNLexobG%2BX1en02AADQfXTqLcIHHnjA57ExRjU1NVq9erW%2B//3vd%2BrAlZWVSk5O1smTJ/WlL31JhYWFio%2BPV0VFhcLDwxUdHe1THxsba13nVVtbq9jYWJ/x6OhohYeHn7cmNjZWp0%2Bf1qFDh2SMUXNzc7s1refoqJf25Obm6uGHH%2B7EagAAgEtJpwJWy1trLS677DL17dtXixcvVmZmZqcOfPXVV6uiokJHjhzRqlWrNH36dJWUlHxuvTHGunu8JJ%2Bf/a1peTfU4XD4/Hy%2BOfzp5Vzz589XTk6O9djr9WrgwIHnnRMAAFw6OhWwzv2E3T8jPDzcusg9KSlJW7du1a9//Wulp6erqalJ9fX1PmeO6urqlJKSIklyu93avHmzz3z19fU6deqUdUbK7Xa3OctUV1en0NBQ9enTR8YYhYSEtFvTeo6OemmP0%2BmU0%2Bns7JIAAIBLhC3XYNnBGKPGxkYlJiYqLCxMxcXF1lhNTY127txphZrk5GTt3LnT56L6oqIiOZ1OJSYmWjWt52ipSUpKUlhYmMLDw5WYmNimpri42DqOP70AAACcq1NnsK677roO3z5rsWXLls8de%2BihhzR58mQNHDhQR48eVUFBgf785z9r3bp1crlcuuuuuzRnzhz16dNHvXv31ty5czV06FDdeOONks5eiB4fH6%2BMjAw98cQT%2BuyzzzR37lxlZmZanxLIyspSXl6ecnJylJmZqdLSUj3//PN67bXXrD5ycnKUkZGhpKQkJScna8WKFaqqqlJWVpYk%2BdULAADAuToVsL71rW/pN7/5jb72ta8pOTlZklRWVqaPP/5Yd999t99vix04cEAZGRmqqamRy%2BXSsGHDtG7dOk2YMEGS9NRTTyk0NFRTp07ViRMnNH78eL3wwgvWfadCQkL01ltv6Z577tHo0aMVGRmpadOmacmSJdYx4uLitGbNGt1///165pln5PF4tGzZMuseWJKUnp6uw4cP65FHHlFNTY0SEhK0Zs0aDRo0yKrpqBcAAIBzdeo%2BWD/5yU8UExOjRYsW%2BexfsGCBDhw4oN/%2B9re2N3gp4D5YgK9gujdPMAqmezUF27%2BFYFpbKbjWt1vfB%2Bv111/XD3/4wzb7Z8yYoT/84Q%2B2NQUAABDMOhWwnE5nuzfY3LRpE5%2BaAwAA%2BD%2BdugZr9uzZysrK0vbt2zVq1ChJZ6/Beu655/TQQw91SYMAAADBplMBa8GCBYqLi9Ovf/1r/e53v5N09rv7nnvuOU2bNq1LGgQAAAg2nQpYkjRt2jTCFAAAwHl0%2BkajXq9XL7zwgn7xi1%2Bovr5ekrRjxw6fm34CAAB0Z506g7Vz507deOON6tGjh6qrqzVjxgxFR0fr9ddf1759%2B/Tiiy92VZ8AAABBo1NnsO6//35NmzZNf/vb3xQREWHtv/nmm7V%2B/XrbmwMAAAhGnTqDtXXrVuXn57f5upwrrriCtwgBAAD%2BT6fOYIWHh%2BvYsWNt9u/evVsxMTG2NQUAABDMOhWwpkyZon//93/X6dOnJUkOh0OffvqpHnzwQd12221d0iAAAECw6VTAevLJJ7V//3653W6dOHFCN9xwg6688kpFRES0%2BX5CAACA7qpT12C5XC5t2rRJxcXFeu%2B993TmzBmNGDFCEydObHNdFgAAQHfld8A6deqUbrrpJi1fvlypqalKTU3tyr4AAACClt9vEYaFhWn79u2cqQIAAOhAp67BuvPOO/X73/%2B%2Bq3oBAAC4JHT6uwjz8vL0zjvvKCkpST179vQZe/zxx21rDAAAIFh1KmCVl5dr2LBhkqT333/fZ4y3DgEAAM7yK2Dt2bNHcXFx2rBhQ1f3AwAAEPT8ugbrqquu0sGDB63H6enpOnDgQJc1BQAAEMz8CljGGJ/Ha9as0fHjx7ukIQAAgGDXqU8RAgAAoGN%2BXYPlcDjaXMTORe0AgO4macG6QLeAIOFXwDLGaMaMGXI6nZKkkydPKisrq81tGt544w37OwQAAAgyfgWs6dOn%2Bzy%2B8847u6QZAACAS4FfAYu7twMAAPiPi9wBAABsRsACAACwGQELAADAZp3%2BsmcAFyc%2BPg4AFw/OYAEAANiMgAUAAGAz3iIEPgdvuQEAvijOYAEAANiMgAUAAGAzAhYAAIDNCFgAAAA2I2ABAADYjIAFAABgMwIWAACAzQISsHJzc3XdddepV69e6tevn2699VZ9/PHHPjWNjY2aNWuWYmJi1LNnT02ZMkX79u3zqamqqtItt9yinj17KiYmRrNnz1ZTU5NPTUlJiRITExUREaErr7xSzz77bJt%2Bli9frri4OEVERCgxMVEbNmzodC8AAAAtAhKwSkpKNHPmTJWVlam4uFinT59Wamqqjh8/btVkZ2ersLBQBQUF2rhxo44dO6a0tDQ1NzdLkpqbm3XzzTfr%2BPHj2rhxowoKCrRq1SrNmTPHmmPv3r266aabNGbMGG3fvl0PPfSQZs%2BerVWrVlk1K1euVHZ2thYsWKDt27drzJgxmjx5sqqqqvzuBQAAoDWHMcYEuomDBw%2BqX79%2BKikp0Te/%2BU01NDSob9%2B%2Bevnll5Weni5J2r9/vwYOHKg1a9Zo4sSJWrt2rdLS0lRdXS2PxyNJKigo0IwZM1RXV6eoqCjNmzdPq1ev1q5du6xjZWVlaceLMa3rAAAS8klEQVSOHSotLZUkjRw5UiNGjFB%2Bfr5VM2TIEN16663Kzc31q5eOeL1euVwuNTQ0KCoqyrZ1Q9fiTu4IVtsenRToFvzG7xladMW/20D%2B/b0orsFqaGiQJPXu3VuSVF5erlOnTik1NdWq8Xg8SkhI0KZNmyRJpaWlSkhIsMKVJE2cOFGNjY0qLy%2B3alrP0VKzbds2nTp1Sk1NTSovL29Tk5qaah3Hn14AAABaC/h3ERpjlJOTo%2Buvv14JCQmSpNraWoWHhys6OtqnNjY2VrW1tVZNbGysz3h0dLTCw8PPWxMbG6vTp0/r0KFDMsaoubm53ZrWc3TUy7kaGxvV2NhoPfZ6vX6tBQAAuDQE/AzWvffeq/fff1%2BvvfZah7XGGDkcDutx65/9rWl5R7Sjmvbm9rcmNzdXLpfL2gYOHHjeuQAAwKUloAFr1qxZWr16td59910NGDDA2u92u9XU1KT6%2Bnqf%2Brq6Outsk9vtbnMGqb6%2BXqdOnTpvTV1dnUJDQ9WnTx/FxMQoJCSk3ZrWc3TUy7nmz5%2BvhoYGa6uurvZ3SQAAwCUgIAHLGKN7771Xb7zxhv70pz8pLi7OZzwxMVFhYWEqLi629tXU1Gjnzp1KSUmRJCUnJ2vnzp2qqamxaoqKiuR0OpWYmGjVtJ6jpSYpKUlhYWEKDw9XYmJim5ri4mLrOP70ci6n06moqCifDQAAdB8BuQZr5syZ%2Bs///E/993//t3r16mWdQXK5XIqMjJTL5dJdd92lOXPmqE%2BfPurdu7fmzp2roUOH6sYbb5R09kL0%2BPh4ZWRk6IknntBnn32muXPnKjMz0wo0WVlZysvLU05OjjIzM1VaWqrnn3/e5%2B3InJwcZWRkKCkpScnJyVqxYoWqqqqUlZVl9dRRLwAAAK0FJGC13BJh3LhxPvt///vfa8aMGZKkp556SqGhoZo6dapOnDih8ePH64UXXlBISIgkKSQkRG%2B99ZbuuecejR49WpGRkZo2bZqWLFlizRcXF6c1a9bo/vvv1zPPPCOPx6Nly5bpO9/5jlWTnp6uw4cP65FHHlFNTY0SEhK0Zs0aDRo0yKrpqBcAAIDWLor7YF3quA9WcOL%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%2BV0OhUfH6/CwsJO9wIAANBaQALW8ePHNXz4cOXl5bU7/vjjj2vp0qXKy8vT1q1b5Xa7NWHCBB09etSqmTZtmioqKrRu3TqtW7dOFRUVysjIsMa9Xq8mTJggj8ejrVu36umnn9aSJUu0dOlSq6a0tFTp6enKyMjQjh07lJGRoalTp2rz5s2d6gUAAKA1hzn3lM6FbsDhUGFhoW699VZJZ88YeTweZWdna968eZKkxsZGxcbG6rHHHtPdd9%2BtXbt2KT4%2BXmVlZRo5cqQkqaysTMnJyfroo4909dVXKz8/X/Pnz9eBAwfkdDolSYsXL9bTTz%2Btffv2yeFwKD09XV6vV2vXrrX6mTRpkqKjo/Xaa6/51Ys/vF6vXC6XGhoaFBUVZdvaSVLSgnW2zgcAQCBse3SS7XN25d/fjlx012Dt3btXtbW1Sk1NtfY5nU6NHTtWmzZtknT2zJPL5bLClSSNGjVKLpfLp2bs2LFWuJKkiRMnav/%2B/frkk0%2BsmtbHaalpmcOfXtrT2Ngor9frswEAgO7jogtYtbW1kqTY2Fif/bGxsdZYbW2t%2BvXr1%2Ba5/fr186lpb47Wx/i8mtbjHfXSntzcXOvaMJfLpYEDB57nvxgAAFxqLrqA1cLhcPg8Nsb47Dt33J%2BalndDO6o5d58/Na3Nnz9fDQ0N1lZdXf25tQAA4NJz0QUst9stSW3OENXV1Vlnktxutw4cONDmuQcPHvSpaW8OSR3WtB7vqJf2OJ1ORUVF%2BWwAAKD7uOgCVlxcnNxut4qLi619TU1NKikpUUpKiiQpOTlZDQ0N2rJli1WzefNmNTQ0%2BNSsX79eTU1NVk1RUZE8Ho%2B%2B8pWvWDWtj9NS0zKHP70AAACcKyAB69ixY6qoqFBFRYWksxeTV1RUqKqqSg6HQ9nZ2Vq0aJEKCwu1c%2BdOzZgxQz169NC0adMkSUOGDNGkSZOUmZmpsrIylZWVKTMzU2lpabr66qslnb2Ng9Pp1IwZM7Rz504VFhZq0aJFysnJsd7eu%2B%2B%2B%2B1RUVKTHHntMH330kR577DG98847ys7OliS/egEAADhXaCAOum3bNn3rW9%2ByHufk5EiSpk%2BfrhdeeEEPPPCATpw4oXvuuUf19fUaOXKkioqK1KtXL%2Bs5r776qmbPnm19wm/KlCk%2B99VyuVwqLi7WzJkzlZSUpOjoaOXk5FjHkqSUlBQVFBToZz/7mX7%2B859r8ODBWrlypc%2BnE/3pBQAAoLWA3werO%2BA%2BWAAAnB/3wQIAAMB5EbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGw/LR8%2BXLFxcUpIiJCiYmJ2rBhQ6BbAgAAFykClh9Wrlyp7OxsLViwQNu3b9eYMWM0efJkVVVVBbo1AABwESJg%2BWHp0qW666679OMf/1hDhgzRr371Kw0cOFD5%2BfmBbg0AAFyEQgPdwMWuqalJ5eXlevDBB332p6amatOmTe0%2Bp7GxUY2NjdbjhoYGSZLX67W9v%2BbG47bPCQDAhdYVfyNb5jTG2D53RwhYHTh06JCam5sVGxvrsz82Nla1tbXtPic3N1cPP/xwm/0DBw7skh4BAAh2rie7bu6jR4/K5XJ13QHaQcDyk8Ph8HlsjGmzr8X8%2BfOVk5NjPT5z5ow%2B%2B%2Bwz9enT53Of80V4vV4NHDhQ1dXVioqKsm3eSw3r5B/WyT%2Bsk39YJ/%2BwTv75outkjNHRo0fl8Xi6sLv2EbA6EBMTo5CQkDZnq%2Brq6tqc1WrhdDrldDp99l1%2B%2BeVd1mNUVBS/mH5gnfzDOvmHdfIP6%2BQf1sk/X2SdLvSZqxZc5N6B8PBwJSYmqri42Gd/cXGxUlJSAtQVAAC4mHEGyw85OTnKyMhQUlKSkpOTtWLFClVVVSkrKyvQrQEAgItQyMKFCxcGuomLXUJCgvr06aNFixZpyZIlOnHihF5%2B%2BWUNHz480K0pJCRE48aNU2goWfl8WCf/sE7%2BYZ38wzr5h3XyT7Ctk8ME4rOLAAAAlzCuwQIAALAZAQsAAMBmBCwAAACbEbAAAABsRsAKUsuXL1dcXJwiIiKUmJioDRs2BLqlgFu/fr1uueUWeTweORwOvfnmmz7jxhgtXLhQHo9HkZGRGjdunD744IMAdRsYubm5uu6669SrVy/169dPt956qz7%2B%2BGOfmsbGRs2aNUsxMTHq2bOnpkyZon379gWo48DIz8/XsGHDrJsaJicna%2B3atdY4a9S%2B3NxcORwOZWdnW/tYK2nhwoVyOBw%2Bm9vttsZ5bfqHTz/9VHfeeaf69OmjHj166Bvf%2BIbKy8ut8WBaKwJWEFq5cqWys7O1YMECbd%2B%2BXWPGjNHkyZNVVVUV6NYC6vjx4xo%2BfLjy8vLaHX/88ce1dOlS5eXlaevWrXK73ZowYYKOHj16gTsNnJKSEs2cOVNlZWUqLi7W6dOnlZqaquPH//Gl4dnZ2SosLFRBQYE2btyoY8eOKS0tTc3NzQHs/MIaMGCAFi9erG3btmnbtm264YYb9O1vf9t6IWeN2tq6datWrFihYcOG%2Bexnrc665pprVFNTY22VlZXWGK9NZ9XX12v06NEKCwvT2rVr9eGHH%2BrJJ5/0%2BSaUoForg6DzL//yLyYrK8tn39e//nXz4IMPBqiji48kU1hYaD0%2Bc%2BaMcbvdZvHixda%2BkydPGpfLZZ599tlAtHhRqKurM5JMSUmJMcaYI0eOmLCwMFNQUGDVfPrpp%2Bayyy4z69atC1SbF4Xo6Gjz29/%2BljVqx9GjR81VV11liouLzdixY819991njOHfU4tf/vKXZvjw4e2O8dr0D/PmzTPXX3/9544H21pxBivINDU1qby8XKmpqT77U1NTtWnTpgB1dfHbu3evamtrfdbN6XRq7Nix3XrdGhoaJEm9e/eWJJWXl%2BvUqVM%2B6%2BTxeJSQkNBt16m5uVkFBQU6fvy4kpOTWaN2zJw5UzfffLNuvPFGn/2s1T/s3r1bHo9HcXFxuv3227Vnzx5JvDa1tnr1aiUlJel73/ue%2BvXrp2uvvVbPPfecNR5sa0XACjKHDh1Sc3Nzmy%2Bajo2NbfOF1PiHlrVh3f7BGKOcnBxdf/31SkhIkHR2ncLDwxUdHe1T2x3XqbKyUl/60pfkdDqVlZWlwsJCxcfHs0bnKCgoUHl5uXJzc9uMsVZnjRw5Ui%2B99JLefvttPffcc6qtrVVKSooOHz7Ma1Mre/bsUX5%2Bvq666iq9/fbbysrK0uzZs/XSSy9JCr7X8eC43zzacDgcPo%2BNMW32oS3W7R/uvfdevf/%2B%2B9q4cWOHtd1xna6%2B%2BmpVVFToyJEjWrVqlaZPn66SkpLPre%2BOa1RdXa377rtPRUVFioiI8Pt53W2tJk%2BebP08dOhQJScna/DgwXrxxRc1atQoSbw2SdKZM2eUlJSkRYsWSZKuvfZaffDBB8rPz9cPfvADqy5Y1oozWEEmJiZGISEhbdJ6XV1dm1SPf2j5xA7rdtasWbO0evVqvfvuuxowYIC13%2B12q6mpSfX19T713XGdwsPD9dWvflVJSUnKzc3V8OHD9etf/5o1aqW8vFx1dXVKTExUaGioQkNDVVJSomXLlik0NFSxsbGsVTt69uypoUOHavfu3bw2tdK/f3/Fx8f77BsyZIj1Aa5gWysCVpAJDw9XYmKiiouLffYXFxcrJSUlQF1d/OLi4uR2u33WrampSSUlJd1q3Ywxuvfee/XGG2/oT3/6k%2BLi4nzGExMTFRYW5rNONTU12rlzZ7dap/YYY9TY2MgatTJ%2B/HhVVlaqoqLC2pKSkvT973/f%2Bpm1aquxsVG7du1S//79eW1qZfTo0W1uG/PXv/5VgwYNkhSEr%2BOBuroeX1xBQYEJCwszzz//vPnwww9Ndna26dmzp/nkk08C3VpAHT161Gzfvt1s377dSDJLly4127dvN3//%2B9%2BNMcYsXrzYuFwu88Ybb5jKykpzxx13mP79%2Bxuv1xvgzi%2Bcn/70p8blcpk///nPpqamxtr%2B3//7f1ZNVlaWGTBggHnnnXfMe%2B%2B9Z2644QYzfPhwc/r06QB2fmHNnz/frF%2B/3uzdu9e8//775qGHHjKXXXaZKSoqMsawRufT%2BlOExrBWxhgzZ84c8%2Bc//9ns2bPHlJWVmbS0NNOrVy/rNZvXprO2bNliQkNDzaOPPmp2795tXn31VdOjRw/zyiuvWDXBtFYErCD1zDPPmEGDBpnw8HAzYsQI62P23dm7775rJLXZpk%2Bfbow5%2BxHfX/7yl8btdhun02m%2B%2Bc1vmsrKysA2fYG1tz6SzO9//3ur5sSJE%2Bbee%2B81vXv3NpGRkSYtLc1UVVUFrukA%2BNGPfmT9fvXt29eMHz/eClfGsEbnc27AYq2MSU9PN/379zdhYWHG4/GY2267zXzwwQfWOK9N//DHP/7RJCQkGKfTab7%2B9a%2BbFStW%2BIwH01o5jDEmMOfOAAAALk1cgwUAAGAzAhYAAIDNCFgAAAA2I2ABAADYjIAFAABgMwIWAACAzQhYAAAANiNgAQAA2IyABQAAYDMCFgAAgM0IWAAAADYjYAEAANiMgAUAAGAzAhYAAIDNCFgAAAA2I2ABAADYjIAFAABgMwIWAACAzf4/wz%2BWb9eV8bUAAAAASUVORK5CYII%3D\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-225542972129920154\">\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">31</td>\n",
       "        <td class=\"number\">235636</td>\n",
       "        <td class=\"number\">8.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:14%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">25</td>\n",
       "        <td class=\"number\">186104</td>\n",
       "        <td class=\"number\">6.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:12%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">54</td>\n",
       "        <td class=\"number\">143480</td>\n",
       "        <td class=\"number\">4.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:9%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">28</td>\n",
       "        <td class=\"number\">142234</td>\n",
       "        <td class=\"number\">4.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:9%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">57</td>\n",
       "        <td class=\"number\">117428</td>\n",
       "        <td class=\"number\">4.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">42</td>\n",
       "        <td class=\"number\">109253</td>\n",
       "        <td class=\"number\">3.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">27</td>\n",
       "        <td class=\"number\">105366</td>\n",
       "        <td class=\"number\">3.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">6</td>\n",
       "        <td class=\"number\">82663</td>\n",
       "        <td class=\"number\">2.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">58</td>\n",
       "        <td class=\"number\">71441</td>\n",
       "        <td class=\"number\">2.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">56</td>\n",
       "        <td class=\"number\">69573</td>\n",
       "        <td class=\"number\">2.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"other\">\n",
       "        <td class=\"fillremaining\">Other values (50)</td>\n",
       "        <td class=\"number\">1672671</td>\n",
       "        <td class=\"number\">57.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme-225542972129920154\">\n",
       "            <p class=\"h4\">Minimum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">0</td>\n",
       "        <td class=\"number\">9857</td>\n",
       "        <td class=\"number\">0.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:26%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">5678</td>\n",
       "        <td class=\"number\">0.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:15%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">25991</td>\n",
       "        <td class=\"number\">0.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:68%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">25532</td>\n",
       "        <td class=\"number\">0.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:67%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">38242</td>\n",
       "        <td class=\"number\">1.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "            <p class=\"h4\">Maximum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">55</td>\n",
       "        <td class=\"number\">34769</td>\n",
       "        <td class=\"number\">1.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:30%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">56</td>\n",
       "        <td class=\"number\">69573</td>\n",
       "        <td class=\"number\">2.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:59%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">57</td>\n",
       "        <td class=\"number\">117428</td>\n",
       "        <td class=\"number\">4.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">58</td>\n",
       "        <td class=\"number\">71441</td>\n",
       "        <td class=\"number\">2.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:61%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">59</td>\n",
       "        <td class=\"number\">42108</td>\n",
       "        <td class=\"number\">1.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:36%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "</div>\n",
       "    <div class=\"row headerrow highlight\">\n",
       "        <h1>Correlations</h1>\n",
       "    </div>\n",
       "    <div class=\"row variablerow\">\n",
       "    <img src=\"%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJzs3XtclGX%2B//H3cD54wBTEA6aRaKkFiKIdLDysq%2BbhlyatZWpC5gHUrMzasjyUbratYrpmmt/sIOahLC3bNK3dVcikMg0TTUNRjpoC4gDO7w9y1gmMIW%2BaGX09H495wFz3fV/zmYvTh891X/dtslgsFgEAAACXyc3RAQAAAODKQGIJAAAAQ5BYAgAAwBAklgAAADAEiSUAAAAMQWIJAAAAQ5BYAgAAwBAklgAAADAEiSUAAAAM4eHoAADg144ePaoePXpccrunp6fq1Kmjli1b6s4779T999%2BvOnXq/IERAgCqYuKWjgCczcWJZVhYWKWksbS0VAUFBTp27JgkqWnTplqxYoWuvfbaPzxWAMD/kFgCcDoXJ5ZvvPGGoqOjq9wvJSVF48aNU2FhoSIiIrRq1ao/MkwAwK9wjiUAlxUdHa1HHnlEkpSWlqbvvvvOwREBwNWNxBKAS%2BvVq5f182%2B%2B%2BcaBkQAAWLwDwKXVrVvX%2BnlRUZHNti%2B//FIrV67U7t27derUKdWrV0/h4eEaPny4unbtWmV/p0%2Bf1qpVq7R9%2B3ZlZGSosLBQvr6%2BatGihWJiYvTAAw%2Bofv36Nse0adNGkvSf//xHc%2BbM0ZYtW%2BTm5qZ27dpp%2BfLl8vDw0DfffKMVK1Zo3759On78uLy9vdWqVSv17NlTw4YNq3LxUUlJiVatWqVNmzYpIyNDpaWlaty4sW655RY9%2BOCDatmypc3%2BKSkpeuCBB3TzzTfrrbfe0sqVK/Xee%2B/pyJEj8vT0VLt27TR8%2BHD17Nnz9ww1AFSLxBKASzty5Ij18%2BDgYOvn8%2BbN09KlSyVJ9evXV1hYmHJycrRlyxZt2bJFcXFxeuyxx2z6Onz4sEaOHKnjx4/Lw8NDLVq0ULNmzXTs2DHt3btXe/fu1caNG7V27Vr5%2B/tXiiUhIUFpaWkKCwtTQUGBAgMD5eHhoU8%2B%2BUSTJ09WWVmZGjRooOuvv15FRUX69ttv9c0332jDhg1atWqVTXJ54sQJjRo1SocOHZIktWzZUv7%2B/jp48KCSk5P13nvvac6cOerbt2%2BlOEpLSxUfH68dO3aoQYMGCg0N1Y8//qidO3dq586devbZZ/WXv/zl8gYeAKpiAQAnk5mZaQkLC7OEhYVZdu7c%2BZv7Pv7445awsDBLu3btLLm5uRaLxWJ55513LGFhYZaoqCjL%2B%2B%2B/b933/Pnzlo0bN1rCw8MtYWFhltWrV9v0df/991vCwsIsQ4cOtWRnZ9sct379ekvbtm0tYWFhljfffNPmuAuxtm/f3pKammqxWCyW8vJyy8mTJy3l5eWWW2%2B91RIWFmZZunSppayszHrcd999Z%2BnSpYslLCzMsmTJEmt7WVmZZeDAgZawsDBL7969Ld9//71125kzZyxPPfWU9T1//fXX1m07d%2B60xhIeHm7ZsGGDddvp06ctI0aMsISFhVk6d%2B5sKS0t/c1xBYDfg3MsAbickpIS7du3T9OnT9d7770nSRo5cqQaNWoks9mspKQkSdLzzz%2BvAQMGWI8zmUzq27evtVKZlJSksrIySVJ%2Bfr4OHDggSZo5c6aCgoJsjhs0aJA6d%2B4sSdq/f3%2BVcfXp00edOnWSJLm5uSkgIEAFBQXKzc2VJA0dOlTu7u7W/du1a6fJkyerZ8%2BeCggIsLZ//PHH%2Bv777%2BXt7a2lS5eqbdu21m116tTRrFmzdPvtt6u0tFQvv/xylbEkJiaqf//%2B1ud169a1vu9Tp07pxx9/vMToAsDvx1Q4AKf2wAMPVLvPPffco4kTJ0qqWB2el5cnf3//S15kfcCAAZo5c6ays7O1b98%2B3XTTTWrYsKF27typkpIS%2Bfj4VDqmvLzcOlVdUlJSZb8dO3as1NagQQPVr19fP//8sx599FGNHTtWN998s9zcKv6vHzp0qIYOHWpzzNatWyVJ3bt3V0hISJWvNWrUKH3xxRdKTU3VmTNnbM41laSYmJhKx4SGhlo/P336dJX9AsDlILEE4NR%2BfYF0k8kkb29vBQQEqE2bNurZs6euv/566/YLVcfS0lLdd999l%2BzX3d1d58%2Bf16FDh3TTTTdZ2318fHT8%2BHF98803%2Bumnn5SZmamDBw/q%2B%2B%2B/V3FxsSTp/PnzVfYZGBhY5es8%2Buijevrpp7V9%2B3Zt375d9evXV3R0tG699VbdeeedNueGSrJWE9u1a3fJ%2BC9sKy8v15EjR9S%2BfXub7Y0bN650zMUJc3l5%2BSX7BoDfi8QSgFP761//eskLpFflzJkzkiSz2azdu3dXu//FlbtDhw7pb3/7m7Zv326TPNapU0dRUVHKyclRenr6JfuqqtIpVVQlr732Wr3%2B%2Buv673//q59//lmffPKJPvnkE5lMJt1555169tlnrQlmYWGhJFWqQl7s4mT716vhpYrbXv4WC/fGAFALSCwBXFF8fX0lVVT01q1bZ/dx%2Bfn5uv/%2B%2B5Wfn6%2BmTZtq6NChuvHGG3XdddepefPmMplMmjJlym8mlr8lOjpa0dHRKikp0a5du/Tll1/qiy%2B%2B0N69e/XZZ5/p%2BPHjeu%2B992Qymawrzi8kyVW5OCGuaoU6ADgCiSWAK0qrVq0kVVw6qKysTB4elX/NWSwWpaSkKDg4WE2bNpWXl5fWrl2r/Px8BQQEaO3atbrmmmsqHZednV3jeMxmszIzM1VYWKibb75ZPj4%2Buu2223Tbbbdp8uTJ2rhxox555BGlp6dr//79atu2ra677jrt27dPe/fuvWS/e/bskVRxakCLFi1qHBcA1AZWhQO4onTq1El169ZVUVHRJSuWH3zwgUaMGKE%2BffroxIkTkiruTy5JTZs2rTKpzMjI0Ndffy2pZucnfv755%2Brbt68eeughmc3mSttvueUW6%2BcX%2Br2w8Gbr1q3KzMysst833nhDkhQeHq569erZHQ8A1CYSSwBXFD8/Pz300EOSpNmzZ2vt2rU250t%2B%2Bumnmj59uqSKywNdqPZdd911kqT09HRt3rzZur/FYtHnn3%2BuuLg4lZaWSpLOnj1rdzzdunVTgwYNdOrUKU2dOlWnTp2ybisqKtLcuXMlSU2aNFHr1q0lSX/%2B85/Vpk0bnTt3TvHx8TbT74WFhXr66af173//Wx4eHnr00UftHxwAqGVMhQO44sTHxyszM1OrV6/Wk08%2BqRdffFHNmzdXdna2cnJyJEmRkZGaNWuW9ZghQ4bo7bff1pEjR5SYmKhmzZqpQYMGOn78uPLz8%2BXp6anOnTsrNTW1RlPiXl5emj9/vkaPHq1NmzZpy5YtatGihdzc3JSZmani4mL5%2Bvpqzpw58vLykiR5eHho0aJFio%2BP16FDhzRw4ECbO%2B9cuCTSc889p6ioKGMHDwAuA4klgCuOyWTSzJkz1bt3b61atUpff/219YLj4eHhuuuuuxQbG2tN5KSKVdZr1qzR0qVL9dlnn%2Bno0aPKy8tTcHCw7rzzTo0YMUJ%2Bfn7q2bOn0tPTlZWVpaZNm9oVT3R0tN599129/vrr%2Buqrr3T48GF5eHgoODhYt912mx588MFKfTVv3lxr167VO%2B%2B8o48//lgHDx7UiRMn1KRJE91%2B%2B%2B267777Kt0rHAAczWThmhMAAAAwAOdYAgAAwBAklgAAADAEiSUAAAAMQWIJAADg5AoKCtSrVy%2BlpKRccp/t27erf//%2BCg8PV58%2BffTZZ5/ZbF%2B6dKm6deum8PBwDR8%2BXIcOHTI8ThJLAAAAJ/bVV18pNjZWP/300yX3OXz4sBISEjRx4kTt2rVLCQkJmjRpkvXyaOvXr9fKlSu1bNkypaSkqF27dkpMTJTRa7hJLAEAAJzU%2BvXr9eijj2ry5MnV7hcVFaWePXvKw8NDffv2VadOnZScnCxJWr16tYYNG6bWrVvL29tbU6ZMUVZW1m9WQH8PEksAAIBakpOTo71799o8LtyowR633Xab/vWvf6lv376/uV9GRobCwsJs2q6//nrrnbt%2Bvd3T01MtW7a0ubOXEbhA%2BtXMZHJ0BNVr1Uo6cEBq3Vr68UdHR1O9Ku4F7ZQ8PKSyMkdHUT03F/nf181Nuui2kU6tBn/QHMbdXQoMlHJzpRrcl91hgoIcHYF9XOn71N3dMa9bC38Xkxcs0MKFC23aJkyYoISEBLuODwwMtGu/oqIi%2Bfr62rT5%2BPiouLjYru1GIbGEcwsIqPgFExDg6EiuLK7wT4UrYTyNZTL97wHjMJ4OERsbq%2B7du9u02Zss1oSvr69KSkps2kpKSuTv72/XdqOQWAIAAEi1MksSFBSkoD%2Bgqh0WFqa9e/fatGVkZKh9%2B/aSpNatW%2BvAgQOKiYmRJJWWlurw4cOVps8vl4vMMwEAAOBSBgwYoNTUVG3atEllZWXatGmTUlNTNXDgQEnS4MGD9eabbyo9PV3nzp3TSy%2B9pEaNGikqKsrQOKhYAgAASK5zXvcvIiIi9Nxzz2nAgAEKDQ3VK6%2B8onnz5umpp55Ss2bNlJSUpFatWkmShgwZojNnzmj8%2BPEqKChQhw4dtGTJEnl6ehoak8li9AWM4Dpc4XybiAhp924pMlJKS3N0NNVzlcU7np5Saamjo6ieq/ySd3d3jUUmkmss3vHw%2BN/iHVdYZOYqi3dc6fvUUYt3vL2N7/PcOeP7dGIu8lsbAAAAzo6pcAAAAMl1ZkmcGCMIAAAAQ1CxBAAAkKhYGoDEEgAAQCKxNAAjCAAAAENQsQQAAJCoWBqAEQQAAIAhqFgCAABIVCwNQGIJAAAgkVgagBEEAACAIahYAgAASFQsDcAIAgAAwBBULAEAACQqlgYgsQQAAJBILA3ACAIAAMAQVCwBAAAkKpYGYAQBAABgCCqWAAAAEhVLA5BYAgAASCSWBmAEAQAAYAgqlgAAABIVSwMwggAAADAEFUsAAACJiqUBSCwBAAAkEksDMIIAAAAwBBVLAAAAiYqlARhBAAAAGIKKJQAAgETF0gAklgAAABKJpQEYQQAAABjiD00sDx8%2B/Ee%2BHAAAgP3c3Ix/XGUu%2Bx0nJSVp%2BPDh1e63detWjR49%2BnJfTpKUkpKiNm3aXHZM1Rk%2BfLiSkpIuux8AAOACSCwv2x/2jk%2BdOiWLxfJHvRwAAAD%2BYDVOLHfv3q3BgwcrPDxc9957r44ePSpJslgsevXVV9W/f39FRUWpU6dOmjJlikpKSpSSkqLp06crKytLERERys7Oltls1vz589WjRw917txZ8fHxOnLkSI1iefXVV3XHHXeoW7duevHFF2U2m6vc79NPP9Xdd9%2BtyMhI9e7dWytWrND58%2BclSWVlZZo/f77uuOMORUZG6r777lN6enqlPvbt26cuXbpoxYoV1cZ19OhRtWnTRu%2B%2B%2B666d%2B%2Bujh07atSoUTpx4oQkad26derevbvNMRdXR5944gnNmDFDY8aMUUREhHr16qUdO3Zo5syZ6tSpk2699Va9%2B%2B67NRkqAABQHSqWl61Gq8JPnjypMWPGKD4%2BXqNGjdK3336rhx56SDfeeKM%2B%2BugjvfHGG3rzzTfVsmVLHTx4UMOGDdMHH3yge%2B65R88995wWLlyorVu3SpLmzp2rnTt3asWKFQoKCtLSpUv14IMPatOmTfL29rYrnh9%2B%2BEGbNm1SXl6e4uLi5Ofnp/Hjx9vss3PnTk2aNEl/%2B9vf9Kc//Un79%2B/XuHHjJEkjR47U4sWL9eGHH2rZsmVq1aqVFi5cqDFjxljjlKTvvvtOcXFxmjJliu655x67x2vbtm167733ZDabNWrUKC1atEgzZsyw69i1a9dq2bJlWrx4sR577DGNHj1a06ZN044dO/T2229rxowZGjhwoLy8vOzqLycnR7m5uTZtga1aKSggwO734xBt29p%2BBHB5PFzgYiAXYnSFWAHYqNFP7bZt2%2BTr66v4%2BHiZTCZ17NhRgwcP1vfff69u3bopMjJSwcHBKigo0MmTJxUQEKDs7OxK/VgsFq1atUoLFixQSEiIJGn8%2BPFavXq1tm3bpt69e1cbi8lk0jPPPCN/f3/5%2B/srLi5Oy5cvr5RYrlu3Tj169FDfvn0lSe3atdNDDz2klStXauTIkVq/fr3GjBmj66%2B/XpI0duxY3XHHHdZp%2B7179%2BqNN97QQw89VKOkUpLi4%2BNVr149SVL37t2VlpZm97FdunRRVFSU9fPt27dbzxuNiYnR7NmzlZeXp6ZNm9rVX3JyshYuXGjTNmHiRCVMnGh3TA719tuOjuDK4%2Bnp6AiuLO7ujo7APoGBjo7Afg0aODqCK48rfJ%2BWlzvuta/CCqPRapRYZmdnq0mTJjKZTNa2Fi1a6Pvvv5fFYtHLL7%2Bszz77TNdcc41uuOEGlZaWVnleZUFBgYqLizVx4kS5XfRFLC0t1bFjx%2ByKpV69etakTZKaNGlSZRKbn5%2BvG264waatefPm1tfJzc21Sc68vLwUHh5uff7f//5XERER%2BvDDDzVixAi7K4SS1KhRI%2BvnHh4eNTrHNOCiSqK7u7vNe70w/hem8%2B0RGxtbafo9sH9/6f/%2Bz%2B4%2BHKJt24qkctgwqYpTFJxOSoqjI7CPp6dUWuroKKrnKr/k3d0d%2B8ewJgoKHB1B9Tw8KpLKkyelsjJHR1O9a65xdAT2caXvU0dxld85TqxGiWVwcLCOHTum8%2BfPWxPCC%2BcNzps3T1lZWdq6davq1KkjSerfv3%2BV/TRo0EDe3t5avny5TRJ36NAhNW7c2K5YCgsLVVxcLD8/P0lSZmammjVrVmm/Zs2a6aeffrJpy8zMVOAv/7U3adJEx48ft24rLS3Viy%2B%2BqLi4OEkV0%2BVjxoxR//79lZSUpClTptgV329xc3OrdD7oyZMnbZ5fnLwbISgoSEFBQbaNP/5o6GvUqvR0qQYVXwCX4AqJ2gVlZa4VL4CaLd7p3r27LBaLkpKSZDab9d1331kXkRQWFsrb21vu7u46d%2B6cli9frh9%2B%2BEGlv1RFvL29dfbsWZWVlcnNzU1DhgzRSy%2B9pBMnTuj8%2BfNav3697rrrLrsX8JSXl2vOnDkqLi7WwYMHtWzZMt17772V9hs8eLC2bt2qjz76SOXl5dq3b5%2BWLl2qwYMHS5LuvvtuLVu2TD/%2B%2BKPKysq0ZMkSffrpp2rwyxSMp6en/P39NXv2bC1fvly7d%2B%2BuyZBVKTQ0VHl5edq5c6csFovef/99HTx48LL7BQAAl4HFO5etRhXLevXqadmyZXr22Wf1%2Buuv69prr1Xv3r31448/atKkSZo2bZpuueUW%2Bfn5qWPHjho4cKB%2B%2BOEHSVKnTp3UsGFDderUSatWrdLUqVOVlJSkYcOG6dSpUwoJCdGCBQt044032hVLQECAAgICdMcdd8jf31/33nuv7rvvvkr73XzzzZo/f75eeeUVPfnkk2rQoIH%2B8pe/KD4%2BXpIUFxensrIyjR49Wj///LM6dOigpUuXyvNX55917dpV99xzj6ZOnar333/fWin9PTp06KCxY8fqiSeeUFFRkXr27GnXeaUAAADOzGTh4pJXL4On22tFRIS0e7cUGekaU%2BGXuOSV0%2BEcS2O50rlrOTmOjqB6Hh4Vi4xyc11jKvzXpxk5K1f6PnXUIqOuXY3vc8cO4/t0YlzLAQAAQHKdf2admNMllvn5%2BerZs%2Bdv7lOTy/bUhujo6EtejF2SNm7caPdlgAAAAC4lPz9fTz/9tFJTU%2BXu7q4BAwZo6tSp8vjVdV7j4uL01Vdf2bQVFxcrNjZWM2bMUF5enm699VabU/kaNGhgc91uIzhdYtmwYUOHJ47VSXGVS8oAAAD7OWHFctKkSWrcuLG%2B%2BOIL5eXlaezYsVqxYoX16jUXvPbaazbP16xZo4ULF2rChAmSpD179qhZs2aGJ5K/5nwjCAAAAB05ckSpqal67LHH5Ovrq5CQEI0bN05vvfXWbx536NAhzZw5U/PmzbNeanDPnj1q3759rcfsdBVLAAAAh6iFimWVt1QODKx8bekqHDhwQAEBATbX%2BA4NDVVWVpZOnz5tc/OUiz333HMaNGiQ9Q5%2BUkVi%2BfPPP%2Buuu%2B5SXl6eOnTooKlTp1rvPGgUEksAAACpVhLLKm%2BpPGGCEhISqj22qKhIvr6%2BNm0XnhcXF1eZWO7atUvffPON5s2bZ9Ner149XX/99YqPj5eXl5fmz5%2BvUaNGadOmTapbt25N39YlkVgCAADUkipvqfzL3f%2Bq4%2Bfnp7Nnz9q0XXju7%2B9f5THJycnq06dPpdd46aWXbJ5PmzZNa9eu1a5duxQTE2NXPPYgsQQAAJBqpWJZ5S2V7dS6dWudOnVKeXl5atSokSTp4MGDCg4OrrLKWFZWpi1btuiVV16xaS8sLNQrr7yi%2B%2B%2B/33r76/LycpWVlcnHx%2Bd3xXYpLN4BAABwQi1btlTHjh31/PPPq7CwUJmZmVq0aJGGDBlS5f779%2B/XuXPnFBkZadNep04d/fe//9XcuXN15swZFRUVaebMmWrevLnNeZhGILEEAACQnPJe4QsWLFBZWZl69OihoUOH6vbbb9e4ceMkSREREdqwYYN138zMTNWvX1/e3t6V%2Blm0aJHOnz%2Bvnj176vbbb1dubm6Vt7C%2BXNzS8WrGLR2Nxy0djeWE15SrkivdKo9bOhqPWzoaz1G3dOzd2/g%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%2BPzzz%2BXJJWXl2vu3Lm65ZZbFBERobFjxyonJ8fweEksAQAApIqKpdGPyzRp0iT5%2Bfnpiy%2B%2B0Jo1a7Rjxw6tWLGiyn2/%2B%2B47LVu2TGlpadZHt27dJEmLFy/Wf/7zH61du1ZffPGFfHx89Ne//vWy4/s1EksAAAAndOTIEaWmpuqxxx6Tr6%2BvQkJCNG7cOL311luV9s3MzNTPP/%2BsG2%2B8scq%2B3n33XcXHx6tJkyaqU6eOnnrqKX3%2B%2BefKzMw0NGbOsQQAAJBq5RzLnJwc5ebm2rQFBgYqKCio2mMPHDiggIAANW7c2NoWGhqqrKwsnT59WvXq1bO279mzR/7%2B/po8ebL27NmjRo0aaeTIkRoyZIjOnDmjEydOKCwszLp/o0aNVL9%2Bfe3fv18hISEGvNMKJJYAAABSrSSWycnJWrhwoU3bhAkTlJCQUO2xRUVF8vX1tWm78Ly4uNgmsTSbzQoPD9fkyZPVunVrpaSkKCEhQf7%2B/oqIiJAk%2Bfn52fTl4%2BOjoqKi3/W%2BLoXEEgAAoJbExsaqe/fuNm2BgYF2Hevn56ezZ8/atF147u/vb9M%2BaNAgDRo0yPr8tttu06BBg/TRRx/plltusTn2gpKSkkr9XC4SSwAAAKlWKpZBQUF2TXtXpXXr1jp16pTy8vLUqFEjSdLBgwcVHBysunXr2uy7Zs0a%2Bfv7q0%2BfPtY2s9ksb29v1a9fX40bN1ZGRoZ1Ojw3N1enTp2ymR43Aot3AAAAnFDLli3VsWNHPf/88yosLFRmZqYWLVqkIUOGVNq3sLBQM2fO1L59%2B3T%2B/Hlt27ZNH374oWJjYyVJd999txYvXqzMzEwVFhbq%2BeefV%2BfOndWiRQtDY6ZiCQAAIDnlBdIXLFigGTNmqEePHnJzc9OgQYM0btw4SVJERISee%2B45DRgwQCNGjFBxcbEmTJig/Px8hYSEaO7cuYqKipIkjR8/XmVlZbrvvvtUVFSk6Oho/eMf/zA8XpPFYrEY3itcQ2mpoyOwj6en68Tq5eXoCKoXESHt3i1FRkppaY6O5reVlDg6guqZTBVfd7NZcoFfp%2Bfk7egQquViQ%2BoSP/ZSxbi6wnhKFbE6xAsvGN/ntGnG9%2BnEnC81BwAAgEtiKhwAAEByyqlwV8MIAgAAwBBULAEAACQqlgYgsQQAAJBILA3ACAIAAMAQVCwBAAAkKpYGYAQBAABgCCqWAAAAEhVLA5BYAgAASCSWBmAEAQAAYAgSy0tISUlRmzZtHPLaGzZsUL9%2B/S65/YknntATTzzxB0YEAMBVwM3N%2BMdVhqlwJzRgwAANGDDA0WEAAHB1uQoTQaMxgpKSkpJ0xx13qHPnzho8eLC2bNli3bZs2TL16tVL4eHhSkxMVGFhoXXbu%2B%2B%2Bq379%2BikyMlL9%2B/fXhg0brNuGDx%2BuOXPm6O6771Z4eLjuvvtu7dq1y6541q1bp%2B7du1ufb9myRf369VN4eLjGjBmjkydPGvCuAQAAjHXVVyx37typ5ORkrVu3ToGBgUpOTtZTTz2ll156SZJ07Ngxffjhhzp16pTuuecevfXWWxozZozWrVunOXPmaOHChercubNSU1M1YcIE%2Bfr6qlevXpKk5ORkLV68WJGRkVq2bJnGjh2rTz75RA0aNLA7vkOHDmnixIl6/vnn1bdvX23btk2JiYk1rmjm5OQoNzfXpi2wQQMFBQbWqB9UIyLC0RFUr21b24/OzGRydATVuxCjK8QqyRWidLEhxZVLIS8RAAAgAElEQVSEiuVlu%2BoTS29vb/38889avXq1YmJidM899yg2NlapqamSpISEBHl7e6tx48bq1KmTfvrpJ0nS2rVrFRsbq65du0qSunbtqtjYWK1atcqaWA4ePFhdunSRJD388MN655139Nlnn%2Bnuu%2B%2B2O75Nmzapffv21kSyZ8%2BeiomJqfH7TE5O1sKFC23aJowfr4TExBr35RCeno6OwD67dzs6Avu9/bajI7iyuMj3qJejA6gBFxlSl%2BIKybrF4ugIcDmu%2BsQyIiJCSUlJWrlypV577TX5%2BPho%2BPDhioyMlCSb6qKnp6fKy8slSXl5eQoJCbHpq3nz5tq6dav1ecuWLa2fm0wmBQcHV6oaVic7O1tNmza1aWvRokWNp8NjY2NtptelioqlSktr1I9DeHq6RpySFB3t6Aiq17ZtRVI5bJiUnu7oaH7bzp2OjqB6JtP/vkdd4C%2Bi2QVSSxcbUpdJgE0m1xhPh6Jiedmu%2BsQyKytLDRs21LJly2Q2m7Vjxw5NmDBBSUlJv3lc8%2BbNrdXLCzIzMxV40dRydna29fPz588rKytLTZo0qVF8wcHB2rZtm03biRMn5O3tXaN%2BgoKCFBQUZNvoKsmaK0lLc3QE9ktPd/54XemvoMXiEvE6f4T/4yJDiisJieVlu%2BpHcM%2BePYqLi1N6erq8vLzUsGFDSdIPP/zwm8cNGTJEycnJ2rFjh8rLy63nag4ePNi6z7vvvqvvvvtOZrNZr7zyiiwWS42nsQcMGKAffvhBq1evVllZmf7973/rX//6V83fKAAAQC276iuWvXv31uHDhzV27FidPHlSDRs21JNPPqnrrrvuN4/r06ePCgsLNWvWLGVlZalx48Z6/PHHNWjQIOs%2BnTt31owZM5SRkaEbb7xRy5cvV926dWsUX0hIiP75z39qzpw5mj17ttq1a2c9hxMAABiIiuVlM1ksTDTUhuHDh6tz585KSEhwdCiX5ipT4a50jqWX85%2B/poiIikVGkZHOPxVeUuLoCKpnMlV83c1ml5i3PaeanUbjCC42pC7xYy%2B51jmWDltk9Prrxvc5apTxfTqxq75iCQAAIImKpQFILP9g3377rUaMGHHJ7U2bNtXGjRv/wIgAAIAkEksDkFjWkpUrV1bZftNNNynN2acfAQAAfgcSSwAAAImKpQEYQQAAABiCiiUAAIBExdIAJJYAAAASiaUBGEEAAAAYgoolAACARMXSAIwgAAAADEHFEgAAQKJiaQASSwAAAInE0gCMIAAAAAxBxRIAAECiYmkARhAAAACGoGIJAAAgUbE0AIklAACARGJpAEYQAAAAhqBiCQAAIFGxNAAjCAAAAENQsQQAAJCoWBqAxBIAAEAisTQAiSUAAICTys/P19NPP63U1FS5u7trwIABmjp1qjw8Kqdw77zzjlasWKGcnBwFBQXpgQce0H333SdJOn/%2BvDp27CiLxSKTyWQ95j//%2BY/8/PwMi5fEEgAAQHLKiuWkSZPUuHFjffHFF8rLy9PYsWO1YsUKxcXF2ez36aef6u9//7uWLl2qm2%2B%2BWV9//bUeeughNWrUSL1791ZGRoZKS0u1e/dueXl51Vq8zjeCAAAA0JEjR5SamqrHHntMvr6%2BCgkJ0bhx4/TWW29V2jc7O1vx8fEKDw%2BXyWRSRESEoqOj9eWXX0qS9uzZozZt2tRqUilRsQQAAKhQCxXLnJwc5ebm2rQFBgYqKCio2mMPHDiggIAANW7c2NoWGhqqrKwsnT59WvXq1bO2X5jyviA/P19ffvmlpk2bJqkisTx37pwGDx6sY8eOKTQ0VFOmTFFkZOTlvL1KSCwBAACkWkksk5OTtXDhQpu2CRMmKCEhodpji4qK5Ovra9N24XlxcbFNYnmx3NxcjRkzRu3bt9ddd90lSfLx8dFNN92kiRMnqn79%2Bnrrrbc0evRobdiwQSEhIb/nrVWJxBIAAKCWxMbGqnv37jZtgYGBdh3r5%2Bens2fP2rRdeO7v71/lMV9//bUmTpyoqKgovfDCC9ZFPk888YTNfqNHj9a6deu0fft23X///XbFYw8SSwAAAKlWKpZBQUF2TXtXpXXr1jp16pTy8vLUqFEjSdLBgwcVHBysunXrVtp/zZo1mjVrlhITE/Xggw/abHv55ZfVu3dv3XjjjdY2s9ksb2/v3xXbpbB4BwAAwAm1bNlSHTt21PPPP6/CwkJlZmZq0aJFGjJkSKV9N2/erGeffVZJSUmVkkpJ%2BuGHHzR79mzl5ubKbDZr4cKFKiwsVK9evQyNmcQSAABAqqhYGv24TAsWLFBZWZl69OihoUOH6vbbb9e4ceMkSREREdqwYYMkaeHChSovL1diYqIiIiKsj2eeeUaS9MILL6hFixYaOHCgoqOjlZqaqtdff10BAQGXHePFTBaLxWJoj3AdpaWOjsA%2Bnp6uE2stX8bBEBER0u7dUmSklJbm6Gh%2BW0mJoyOonslU8XU3myUX%2BHV6TsZOe9UGFxtSl/ixlyrG1RXGU6qI1SF27DC%2Bz65dje/TiVGxBAAAgCFYvAMAACA55Z13XA2JJQAAgERiaQASy6uZK/0AuUqsrnJOoCTt3On8J1z5%2BDg6gupdOGe1SxfnP2dV0tEMJ/%2Baq%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%2BWn5%2BvcePGKSoqStHR0Zo9e7bKysqq3Hf79u3q37%2B/wsPD1adPH3322Wc225cuXapu3bopPDxcw4cP16FDhwyPl8TyV5o2baq0tDQ1bdpUJ0%2BedHgMAADgD%2BLmZvzjMk2aNEl%2Bfn764osvtGbNGu3YsUMrVqyotN/hw4eVkJCgiRMnateuXUpISNCkSZOUnZ0tSVq/fr1WrlypZcuWKSUlRe3atVNiYqIsFstlx3gxEstfOXr0qNq0aaORI0dq165dWrJkiR5%2B%2BGFJ0k8//aSHH35Y0dHRiomJ0csvvyyz2Sypooo4bNgwzZ07V507d1aXLl20cuVKrV69WjExMerYsaOeeeaZGsVw9OhRSdLBgwc1fPhwRUREqH///tq3b1/tvHkAAOA0jhw5otTUVD322GPy9fVVSEiIxo0bp7feeqvSvuvXr1dUVJR69uwpDw8P9e3bV506dVJycrIkafXq1Ro2bJhat24tb29vTZkyRVlZWUpJSTE0Zs6xvIRZs2Zp2rRp6ty5sxISElRcXKyRI0eqX79%2Bmj9/vgoKCpSYmKjz589rypQpkqSvvvpKf/rTn7Rz506tWrVKs2bNUp8%2BfbRp0yZlZGQoNjZW/fv3V6dOneyOo7S0VGPGjFG3bt302muv6aefflJ8fLzcavhfUE5OjnJzc23aAhs2VFBgYI36QTVMJkdHUL0LMbpCrBERjo6gem3b2n50cl5ejo6gep6eth%2BBP0wtnGNZ5d/fwEAFBQVVe%2ByBAwcUEBCgxo0bW9tCQ0OVlZWl06dPq169etb2jIwMhYWF2Rx//fXXKz093bo9Pj7eus3T01MtW7ZUenq6unTp8rveW1VILO20bds2mc1mPfLIIzKZTGrSpIkmTpyoxMREa2Lp5%2BenESNGyGQy6bbbblN5eblGjx4tX19fdejQQUFBQTp27FiNEsu0tDQdP35cjz/%2BuLy9vdW6dWuNGjVK//d//1ej%2BJOTk7Vw4UKbtgnjxyshMbFG/TiMu7ujI7CPq8QpucZf7d27HR2B/d5%2B29ER2MWVliIGBzs6Anu5wM/SBa7wc19a6rCXtsj4f7ir/Ps7YYISEhKqPbaoqEi%2Bvr42bReeFxcX2ySWVe3r4%2BOj4uJiu7YbhcTSTseOHVNBQYFNUmixWFRaWqr8/HxJUkBAgEy/VIEuVBQv/qK7ubnp/PnzNXrd7OxsNWjQQD4%2BPta2Fi1a1Dj%2B2NjYSgt%2BAhs2lMrLa9zXH87d3TXilFwjTpOp4o9Laalk8Lk1hjPwv%2Bha07ZtRVI5bJj0S2XAmWW%2B7/zJuqdnRVJ54oRDcwy7hQS7QJDS/37u8Yeq8u%2BvnbOFfn5%2BOnv2rE3bhef%2B/v427b6%2BviopKbFpKykpse5X3XajkFjaKTg4WC1atNDHH39sbSssLFR%2Bfr6uueYaSbImlUZq0qSJCgoKVFRUZP3inzhxosb9BAUFVS67u0IS5GqcPVG7mMXi/PGmpTk6Avulp7tEvL%2BcFu4SSktdK164vhrWfuxS5d9fO7Vu3VqnTp1SXl6eGjVqJKli3UVwcLDq1q1rs29YWJj27t1r05aRkaH27dtb%2Bzpw4IBiYmIkVZxqd/jw4UrT55eLxTu/wcvLS2fOnJEkxcTEqKioSK%2B99prMZrNOnz6tqVOnavLkybWSUF4QERGhVq1aadasWTp79qyOHDmi5cuX19rrAQBwtTp/3vjH5WjZsqU6duyo559/XoWFhcrMzNSiRYs0ZMiQSvsOGDBAqamp2rRpk8rKyrRp0yalpqZq4MCBkqTBgwfrzTffVHp6us6dO6eXXnpJjRo1UlRU1OUF%2BSsklr9h0KBBWrt2rYYNG6Y6depoxYoVSklJUbdu3dSzZ0%2B5ublp8eLFtRqDu7u7Xn31VeXk5OiWW25RXFycevToUauvCQAAnMOCBQtUVlamHj16aOjQobr99ts1btw4SRXFpw0bNkiqWNTzyiuvaMmSJerUqZMWLVqkpKQktWrVSpI0ZMgQjRw5UuPHj1eXLl20b98%2BLVmyRJ4Gn3drshh9ASO4DleZCnelcywvcdFap2IyVSwNNpudfyr8onOLnVZERMUio8hIl5gKP5jh5F9zVXx7hoRImZmuMRUe2sJFzlt0pXMsHbTI6Nw54/v09ja%2BT2dGxRIAAACGYPGOA0RHR1svrF6VjRs3ctcdAAD%2BYLWxeOdqQ2LpAEZf5R4AAFw%2BEsvLx1Q4AAAADEHFEgAAQFQsjUDFEgAAAIagYgkAACAqlkYgsQQAABCJpRGYCgcAAIAhqFgCAACIiqURqFgCAADAEFQsAQAARMXSCCSWAAAAIrE0AlPhAAAAMAQVSwAAAFGxNAIVSwAAABiCiiUAAICoWBqBxBIAAEAklkZgKhwAAACGoGIJAAAgKpZGoGIJAAAAQ1CxBAAAEBVLI5BYAgAAiMTSCEyFAwAAwBBULAEAAETF0ghULAEAAGAIKpYAAACiYmkEEksAAACRWBqBqXAAAAAYgoolAACAqFgagYolAAAADEHFEgAAQFQsjUBiCQAAIBJLIzAVDgAAAENQsQQAABAVSyOQWF7NcnIcHUH1PDykwECpoEAqK3N0NNU6d00TR4dQLZMkL0lmecni6GCqcTTD2SOUvLykEEmZ7%2B%2BW2ezoaKoXer3J0SFULyJC2r1bIQMjpbQ0R0dTPRf43WTlxkQlaheJJQAAgKhYGoHEEgAAQCSWRqAmDgAAAENQsQQAABAVSyOQWAIAAIjE0ghMhQMAAMAQVCwBAABExdIIJJYAAAAuqri4WDNnztTWrVtVVlamHj16aPr06fL3969y/82bN2vRokXKzMxUQECA7r77bo0bN05uv1zjtE%2BfPsrKyrI%2Bl6Q1a9YoNDTUrnhILAEAAOSaFcuZM2fq%2BPHj2rx5s8rLyzVp0iTNmzdP06dPr7Tvd999p8cff1z/%2BMc/dMcdd%2BjHH39UfHy8/Pz89OCDD6qwsFA//vijtmzZombNmv2ueDjHEgAAQBWJpdGP2nT27Fl98MEHSkxMVEBAgBo2bKhHH31U69at09mzZyvtf%2BzYMd17772KiYmRm5ubQkND1atXL3355ZeSKhLPgICA351USlQsAQAAak1OTo5yc3Nt2gIDAxUUFGTX8SUlJcrOzq5y29mzZ1VaWqqwsDBrW2hoqEpKSnT48GHdcMMNNvv37t1bvXv3tul727Zt6t%2B/vyRpz5498vX11f33368DBw6oWbNmSkhIUExMjF2xSiSWAAAAkmqnwpicnKyFCxfatE2YMEEJCQl2Hf/NN9/ogQceqHLbxIkTJUl%2Bfn7WNl9fX0lSUVHRb/ZbWFioiRMnysfHRyNHjpQkmUwmdejQQY888oiaNm2qjz/%2BWAkJCXrzzTcVHh5uV7wklgAAALUkNjZW3bt3t2kLDAy0%2B/jo6Gjt37%2B/ym379u3T/PnzdfbsWetinQtT4HXq1Llkn4cOHVJiYqIaNmyoN954w7pvXFyczX4DBgzQhx9%2BqM2bN5NYAgAA1ERtVCyDgoLsnvauqVatWsnT01MZGRm6%2BeabJUkHDx6Up6enWrZsWeUx27dv1yOPPKKhQ4dqypQp8vD4Xyq4bNky3Xjjjeratau1zWw2y9vb2%2B6YWLwDAAAg11u84%2Bvrqz59%2BmjevHkqKChQQUGB5s2bp7vuuks%2BPj6V9v/66681fvx4TZs2TVOnTrVJKiXp%2BPHjeu6555SZmamysjKtWbNGaWlp%2Bn//7//ZHROJJQAAgIuaPn26WrZsqf79%2B%2BvPf/6zmjdvrmeeeca6vV%2B/fvrnP/8pSfrnP/%2BpsrIyzZ49WxEREdbHhSnwxx9/XN26ddOwYcMUFRWlVatW6dVXX9W1115rdzwmi8ViMfYtwmUcP%2B7oCKrn4SEFBkq5uVJZmaOjqda5a5o4OoRqmUySl5dkNkvO/tN/9KijI6iel5cUEiJlZlaMqbMLvd7k6BCqFxEh7d4tRUZKaWmOjqZ6LvC7SZLk7i6Vlzs6Cvu4uzvkZTdvNr7PixZhXxWoWAIAAMAQLN4BAACQa955x9mQWAIAAIjE0ghMhQMAAMAQVCwBAABExdIIVCwBAABgCCqWAAAAomJpBBJLAAAAkVgagalwAAAAGIKKJQAAgKhYGoGKJQAAAAxBxRIAAEBULI1AYgkAACASSyMwFQ4AAABDULEEAAAQFUsjULEEAACAIahYAgAAiIqlEUgsAQAARGJpBKbCAQAAYAgqlgAAAKJiaYQrrmJZXl6uzMxMR4cBAABw1bkiEsusrCxFREQoKytLkydP1nvvvefokOzSr18/bdiwwdFhAAAAVVQsjX5cba6IqfCmTZsqLS1NknTy5EkHR2O/jRs3OjoEAADwi6sxETTaFVGxPHr0qNq0aaORI0dq165dWrJkiR5%2B%2BGFJ0k8//aSHH35Y0dHRiomJ0csvvyyz2SxJWrdunYYNG6a5c%2Beqc%2BfO6tKli1auXKnVq1crJiZGHTt21DPPPFOjGFauXKlbb71VHTt21GOPPabCwkJJUlJSkh588EENHjxYnTt31pdffqnu3btr3bp1kqTi4mLNmDFDXbt2VVRUlOLj43Xs2DFJUmFhoWbMmKE77rhDXbt21eTJk5WXl2f0MAIAAFyWK6JiecGsWbM0bdo0de7cWQkJCSouLtbIkSPVr18/zZ8/XwUFBUpMTNT58%2Bc1ZcoUSdJXX32lP/3pT9q5c6dWrVqlWbNmqU%2BfPtq0aZMyMjIUGxur/v37q1OnTnbF8Mknn%2BiDDz5QeXm5xo8fr%2Beee04vvviiJGnHjh1avny5brrpJnl7e9scN2PGDB08eFDr1q1Tw4YNNX36dD3yyCNKTk7Wk08%2BqaKiIq1bt04%2BPj6aM2eOJkyYoHfeeUcmk8muuHJycpSbm2vTFmgyKSgw0K7jHcbDw/ajk7Pzy%2BFQF2J0hVi9vBwdQfU8PW0/Or2ICEdHUL22bW0/An8QKpaXzzX%2BWv9O27Ztk9ls1iOPPCKTyaQmTZpo4sSJSkxMtCaWfn5%2BGjFihEwmk2677TaVl5dr9OjR8vX1VYcOHRQUFKRjx47ZnVhOmzZN11xzjSQpMTFRY8eO1ezZsyVJISEh6tq1a6VjzGazNm7cqMWLF6tJkybWfo4cOaL8/Hxt3rxZH330kRo2bChJevLJJxUVFaW9e/eqffv2dsWVnJyshQsX2rRNGD9eCYmJdh3vcA0aODoCu7hAHmTlColQSIijI7BfcLCjI7DT7t2OjsB%2Bb7/t6AiuPO7ujo6geuXljo4Al%2BGKTiyPHTumgoICm6TQYrGotLRU%2Bfn5kqSAgABr1c/NreLMgHr16ln3d3Nz0/ka/Atz7bXXWj9v0qSJzGazTp06JUkKCgqq8piff/5ZZrNZTZs2tbbVq1dPHTp00LfffitJGjp0qM0x7u7uOnr0qN2JZWxsrLp3727TFmgySb%2BqYjodD4%2BKpPLkSamszNHRVMtc38krwKqoVHp6SqWlksXi6Gh%2BW3a2oyOonqdnRVJ54kTFmDq7kIGRjg6hem3bViSVw4ZJ6emOjqZ6X37p6Ajs4%2B5O0lYNKpaX74pOLIODg9WiRQt9/PHH1rbCwkLl5%2Bdbq4r2TiXbKzs7W9ddd52kivMufX191eCXatulXqthw4by8vLS8ePHrcfm5%2Bdr6dKlGjVqlCTpo48%2BUuBF09YZGRkKqUE5JygoqHJie/y4SyRrkiridIFYnT1Ru5jF4vzx/nI6tEsoLXWReH9Z6OgS0tNdK164PBLLy3dFLN65mJeXl86cOSNJiomJUVFRkV577TWZzWadPn1aU6dO1eTJkw1PKC946aWXVFhYqOzsbC1YsEADBw6UZzVzjm5ubho0aJCSkpKUnZ2tc%2BfO6R//%2BIe%2B/vprNW7cWHfeeadmz56tkydPqrS0VIsXL9aQIUN0%2BvTpWnkPAAAAv8cVl1gOGjRIa9eu1bBhw1SnTh2tWLFCKSkp6tatm3r27Ck3NzctXry41l6/RYsWuuuuuzRgwABFREToySeftOu4J554Qu3bt9c999yj22%2B/XSdPntT8%2BfMlSX/7299Ur149DRo0SF26dNH27dv12muv2VQwAQDA5eE6lpfPZLE4%2B2SYazh69Kh69OihLVu2qHnz5o4Oxz7Hjzs6gup5eEiBgRXngrrAVPi5a5o4OoRqmUwVq63NZuefCj961NERVM/Lq2KRUWama0yFh17vApcDiIioWGQUGekaU%2BEu8LtJkmudY%2BmgRUZJScb3mZBgfJ/O7IqrWAIAAMAxrujFO0aKjo62Xli9Kq%2B%2B%2BuofGA0AADDa1Th1bTQSSzulpKRUu8/%2B/fv/gEgAAACcE4klAACAqFgagcQSAABAJJZGYPEOAAAADEHFEgAAQFQsjUDFEgAAAIagYgkAACAqlkYgsQQAABCJpRGYCgcAAIAhSCwBAABUUbE0%2BlHbiouLNW3aNEVHR6tjx456/PHHVVRUdMn9p0%2Bfrvbt2ysiIsL6SE5Otm5funSpunXrpvDwcA0fPlyHDh2qUTwklgAAAC5q5syZOn78uDZv3qxPPvlEx48f17x58y65/549ezRz5kylpaVZH7GxsZKk9evXa%2BXKlVq2bJlSUlLUrl07JSYmymKx2B0PiSUAAIBcr2J59uxZffDBB0pMTFRAQIAaNmyoRx99VOvWrdPZs2cr7W82m/XDDz%2Boffv2Vfa3evVqDRs2TK1bt5a3t7emTJmirKwsu25rfQGLdwAAAOSci3dKSkqUnZ1d5bazZ8%2BqtLRUYWFh1rbQ0FCVlJTo8OHDuuGGG2z2T09PV1lZmRYsWKCvvvpKdevW1eDBgxUXFyc3NzdlZGQoPj7eur%2Bnp6datmyp9PR0denSxa54SSwBAABqSU5OjnJzc23aAgMDFRQUZNfx33zzjR544IEqt02cOFGS5OfnZ23z9fWVpCrPszxz5ow6d%2B6s4cOH6%2B9//7u%2B//57jR8/Xm5uboqLi1NRUZH1%2BAt8fHxUXFxsV6wSiSUAAICk2qlYJicna%2BHChTZtEyZMUEJCgl3HR0dHa//%2B/VVu27dvn%2BbPn6%2BzZ8/K399fkqxT4HXq1Km0/6233qpbb73V%2Bvymm27SiBEjtGnTJsXFxcnX11clJSU2x5SUlFj7tgeJJQAAQC2JjY1V9%2B7dbdoCAwMN6btVq1by9PRURkaGbr75ZknSwYMHrVPYv/bpp58qLy9P9957r7XNbDbLx8dHktS6dWsdOHBAMTExkqTS0lIdPnzYZqq9OizeAQAAUO0s3gkKClK7du1sHvZOg1fH19dXffr00bx581RQUKCCggLNmzdPd911lzVZvJjFYtELL7ygHTt2yGKxKC0tTW%2B88YZ1VfjgwYP15ptvKj09XefOndNLL72kRo0aKSoqyu6YqFgCAADIORfvVGf69OmaO3eu%2Bvfvr9LSUvXo0UNPP/20dXu/fv3Uv39/Pfzww%2BrVq5emTZumZ599VtnZ2WrUqJESEhI0cOBASdKQIUN05swZjR8/XgUFBerQoYOWLFkiT09Pu%2BMxWWpycSJcWY4fd3QE1fPwkAIDpdxcqazM0dFU69w1TRwdQrVMJsnLSzKbJWf/6T961NERVM/LSwoJkTIzK8bU2YVeb3J0CNWLiJB275YiI6W0NEdHUz0X%2BN0kSXJ3l8rLHR2FfdzdHfKyTz1lfJ%2BzZxvfpzOjYgkAACDXrFg6G86xBAAAgCGoWAIAAIiKpRFILAEAAERiaQSmwgEAAGAIKpYAAACiYvn/27v3uKjK/A/gn0GQi6ACCwyosOqq1GoKJHgXMdJUFEGXElGCUvmJF7arZqmJkc9Zu7MAACAASURBVGUZQkLrhVYpNQlxUVNTUcviopJ5FyvlfhGU5BYMzO%2BPltkmFAY8eOYMn/fr5Ss558zwYRL4zvd5zvMIgR1LIiIiIhIEO5ZEREREYMdSCCwsiYiIiMDCUggcCiciIiIiQbBjSURERAR2LIXAjiURERERCYIdSyIiIiKwYykEFpZEREREYGEpBA6FExEREZEg2LHsyKytxU6gOQsLsRNopLOE3qoZGIidoGV97evEjqAhA/SSSySrQiF2As1lZIidQDP6EvhV6uQEnDsHDB0KZGaKnaZlSqUon5Ydy4cnoV%2BDRERERKTNJPA2i4iIiKj9sWP58FhYEhEREYGFpRA4FE5EREREgmDHkoiIiAjsWAqBHUsiIiIiEgQ7lkRERERgx1IILCyJiIiIwMJSCBwKJyIiIiJBsGNJREREBHYshcDCkoiIiAgsLIXAoXAiIiIiEgQ7lkRERERgx1II7FgSERERkSDYsSQiIiICO5ZCYGFJREREBBaWQuBQOBEREREJgh1LIiIiIrBjKQR2LImIiIhIEOxYEhEREYEdSyGwsCQiIiICC0shcCiciIiIiATBjiURERER2LEUAjuWRERERCQIdiyJiIiIwI6lEFhYEhEREYGFpRA4FE5EREREgmDHkoiIiAjS7FhWVVVhzZo1OH78OBQKBcaPH4%2BVK1eiS5cuTa596623kJycrHaspqYGI0aMwNatW9HQ0AAXFxcolUrIZDLVNadPn4aJiYlGedixJCIiIpKoNWvWoKCgAIcPH8aRI0dQUFCA9evX3/fat99%2BG5mZmao/UVFR6Nq1K15//XUAwI0bN1BXV4f09HS16zQtKgEWlkREREQAfu9YCv2nPVVXVyM5ORmLFy9G9%2B7dYWlpiZdffhmJiYmorq5u9rFlZWV4%2BeWX8cYbb6Bfv34AgAsXLmDAgAHo3LlzmzNxKJyIiIgI7VMIFhcXo6SkRO2YlZUVrK2tNXp8TU0NioqK7nuuuroadXV16N%2B/v%2BpY3759UVNTg5s3b%2BKxxx574POuX78eAwcOxNSpU1XHLly4gN9%2B%2Bw2%2Bvr7Iy8tD37598dJLL8HZ2VmjrAALSyIiIqJ2s3v3bkRHR6sdCw0NxaJFizR6/Pnz5zFnzpz7nluyZAkAqA1VGxsbAwAqKysf%2BJw5OTn4z3/%2Bgz179qgdNzIywhNPPIElS5agW7du%2BOyzzxAcHIz//Oc/6NWrl0Z5WVgSERERoX06ln5%2BfvDw8FA7ZmVlpfHj3dzccO3atfueu3z5MiIjI1FdXa26WadxCNzU1PSBz/nll1/CycmpSUezca5lo%2BDgYCQmJuLkyZOYPXu2RnlZWBIRERG1E2tra42HvVurd%2B/eMDAwwI0bNzB48GAAwE8//QQDAwP89a9/feDjjhw5gqCgoCbHN2zYgAkTJuDxxx9XHautrYWhoaHGmXjzDhERERGkd/OOsbExnnnmGaxfvx5lZWUoKyvD%2BvXrMWXKFBgZGd33MXfu3MFPP/2EoUOHNjl3/fp1rF27FiUlJaitrUV0dDQqKirg6empcSYWlkRERESQXmEJACtXrsRf//pXeHl5YeLEiejZsyfeeust1fnJkycjNjZW9XFubi4AwMbGpslzRUREwN7eHtOmTYObmxvS09MRFxeH7t27a5xHplQqlQ/x9ZCU1deLnUAznTpJJqtSr5PYETQikwFS%2BM6XKerEjqAZAwOgTiJZ9STST5DQ9z30JTCrzMkJOHcOcHYGMjPFTtMykX5AjRwp/HOePi38c2ozrfgJU19fj5ycHLFjtNrNmzfFjkBEREQCkWLHUtuIVljm5%2BfDyckJ%2Bfn5CAsLQ1JSklhR2uTy5cuYMmVKmx%2BflpaGAQMGCJiIiIiISFyi9e/t7OyQ%2Bd92/J07d8SK0Wb37t1DnVSGvoiIiKhFHbHDKDTROpa5ubkYMGAAAgMDcebMGXzyySdYsGABACA7OxsLFiyAm5sbxo0bhw0bNqC2thYAkJiYiFmzZmHdunVwdXXFsGHDsGPHDnzxxRcYN24cXFxc1CattuTSpUsICAiAk5MTRo0ahcjISCiVSqSlpcHDwwMxMTEYPXo0XF1dsWjRIlRUVCAnJwcvvvgiAMDJyUlVIDenuLgYCxYsgLOzM8aPH4/Tf5p0cfz4cTz77LMYPnw4Bg8ejNmzZ6uG2p955hm1ibcA4OXlhYSEBI2/TiIiImoeh8IfnugzjsPDw7Fs2TJV4VZVVYXAwEBMnjwZkZGRKCsrw%2BLFi9HQ0ICXXnoJAHD27Fk8/fTTSE1Nxa5duxAeHo5nnnkGBw8exI0bN%2BDn5wcvL6/73kr/R3fv3kVQUBACAgKwdetWFBYWIiAgADY2Nujduzfy8vJQVFSEr7/%2BGkVFRfD398fnn3%2BOefPmYfPmzZgzZ45GRSUAhIWFwdzcHKdOncK9e/cQEhKiOldYWIglS5YgMjISHh4euHPnDkJDQ/Hxxx/j/fffh4%2BPDxITE1WF98WLF5Gbm4tnnnlG49f5vltKWVrCuhWLtBIR0X04OYmdoGWOjur/1WZSuLmIHkj0wvLPTpw4gdraWvzzn/%2BETCaDra0tlixZgsWLF6sKSxMTE8ydOxcymQyjRo1CfX09goODYWxsjEGDBsHa2hp5eXktFpYpKSkwNDTEwoULIZPJYG9vj7i4OJiYmODWrVsAgIULF8LIyAgODg5wc3PDL7/80uqvKS8vD2fOnMHhw4dhamoKU1NThIaGYuHChQAACwsLHDhwAPb29qioqEBhYSHMzc1Ve4N6e3vjo48%2BwoULFzBo0CAkJSVh4sSJqlX2NXHfLaUWLsSixYtb/fWIopNE7rYWO0AryKQQ1sBA7ASak1JWqZDI9z3OnRM7geY%2B/1zsBC0T8YdTR%2BwwCk3rCsu8vDyUlZWpFYVKpRJ1dXUoLS0FAHTv3h2y//7D0/vv0hldu3ZVXa%2Bnp4cGDf51lJSUwNbWVvVcANCnTx8AUBWWf9x2ycDAAG1ZnamxQLSzs1Mds7e3V3ve/fv3Y9euXZDJZOjfvz8qKiqg/98lLKysrDB69Gjs27cPjo6O2L9/P6KiolqV4b5bSllaSmM5DwktO8LlhoTF5YbaAZcbEl4LTQyt4Oj4e1E5axZw9arYaUiHaV1hKZfLYW9vj0OHDqmOVVRUoLS0FBYWFgCgVgg%2B7OcqKCiAUqlUPefRo0dRUVEBW1tbQT5H4%2BcBft/0vW/fvgB%2BH/5u9NVXXyE%2BPh47d%2B6Eg4MDAGDNmjW4fv266hpfX1%2BsXr0aI0eOhJmZWYvd2D%2B775ZSUvmhTUSkzaQ0dHv1qrTyPmLsWD48rXjr2rlzZ9y7dw8AMG7cOFRWVmLLli2ora3Fr7/%2Bitdeew1hYWGCFZSN3N3doVAoEBsbi9raWmRnZ%2BOdd97Bb7/91uJjG/fNbMzdHDs7O4waNQoREREoLy9HSUmJ2rD0vXv3oKenByMjIyiVSpw6dQpJSUlqd527u7ujvr4eGzduhI%2BPTxu%2BWiIiImoOb955eFpRWHp7e%2BPLL7/ErFmzYGpqik8//RRpaWkYM2YMnnrqKejp6SEmJkbwz9u1a1ds3boV33//PUaNGoWAgAA8%2B%2Byz8PPza/Gx/fv3h4uLC0aPHo2TJ0%2B2eP0HH3wAMzMzjBs3Dr6%2BvhgxYoTq3PTp0zFixAhMnjwZw4YNQ0xMDObOnYtffvlFdTe8gYEBpk6diqtXr2L69Olt/6KJiIiI2gm3dJSQ7du349SpU9iyZYswTyiVoXAJzbXiHEthcY5lO%2BAcS%2BFxS0fhifQDatAg4Z/zwgXhn1ObSeQnTMdWUlKCH3/8Ef/%2B97/x3HPPiR2HiIiI6L4k8Dar7dzc3FRDyfdz4MABtTu122rhwoX47rvvHnh%2B9erVmDp1apuf/8SJEwgPD8e0adMwfvz4Nj8PERERPVhHnBMpNA6Fd2RSGWaS0JAYh8KFxaHwdsChcOFxKFx4Iv2Aeuwx4Z/zyhXhn1ObSeQnDBERERFpOwm8zSIiIiJqfxwKf3gsLImIiIjAwlIIHAonIiIiIkGwY0lEREQEdiyFwI4lEREREQmCHUsiIiIisGMpBBaWRERERGBhKQQOhRMRERGRINixJCIiIgI7lkJgx5KIiIiIBMGOJRERERHYsRQCC0siIiIisLAUAofCiYiIiEgQ7FgSERERgR1LIbBjSURERESCYMeSiIiICOxYCoGFJRERERFYWAqBQ%2BFEREREJAh2LImIiIjAjqUQ2LEkIiIiIkGwY0lEREQEdiyFwMKSiIiICCwshcChcCIiIiISBDuWRERERGDHUgjsWBIRERGRINixJCIiIgI7lkJgYUlEREQEFpZC4FA4EREREQmChSURERERfu9YCv3nUamuroafnx8SExObve78%2BfOYOXMmnJyc4OHhgT179qid37t3Lzw9PTFkyBD4%2BPggMzOzVTlYWBIRERFJWFZWFvz9/fHDDz80e115eTnmzZsHb29vZGRkYO3atYiIiMCPP/4IAEhLS8OaNWvw7rvvIiMjA1OnTkVISAiqq6s1zsLCkoiIiAjS7Fh%2B//33mDt3LqZPnw47O7tmrz1y5Ai6d%2B8Of39/6OvrY/jw4fDy8sJnn30GANizZw8mT54MFxcXGBgYIDAwEObm5jh48KDGeXjzDhERERHapxAsLi5GSUmJ2jErKytYW1tr9PiamhoUFRXd95yVlRUcHR2RkpICQ0NDxMXFNftcWVlZ6N%2B/v9qxv/3tb0hISAAA3LhxA76%2Bvk3OX716VaOsAAvLjq1TJ7ETtKi4uBi7d%2B%2BGn5%2Bfxt%2BEYpKJHUADknpNDQzETtAiSb2eEiG511SpFDtBi4qLi7E7Kgp%2Bhw5J4zUVSXv8r4yK2o3o6Gi1Y6GhoVi0aJFGjz9//jzmzJlz33Mff/wxnnrqKY2zVFZWwtjYWO2YkZERqqqqNDqvCRaWpNVKSkoQHR0NDw8P/jAUCF9TYfH1FB5fU%2BHxNRWPn58fPDw81I5ZWVlp/Hg3Nzdcu3ZNkCzGxsa4d%2B%2Be2rGamhp06dJFdb6mpqbJeXNzc40/BwtLIiIionZibW2tNcV8//79cfr0abVjN27cQL9%2B/QAA/fr1Q1ZWVpPzY8aM0fhz8OYdIiIiog7A09MTt2/fxqeffoq6ujqkpqYiOTlZNa9yxowZSE5ORmpqKurq6vDpp5%2BitLQUnp6eGn8OFpZEREREOmry5MmIjY0FAJibm2Pbtm04dOgQ3NzcsGLFCqxYsQLDhg0DAAwfPhwrV67EqlWr4OrqigMHDmDz5s3o3r27xp9PplRKYNYxdViSm8QvAXxNhcXXU3h8TYXH15QeFRaWRERERCQIDoUTERERkSBYWBIRERGRIFhYEhEREZEgWFgSERERkSBYWBIRERGRIFhYEhEREZEgWFgSERERkSBYWBIRERGRIFhYEhEREZEgWFgSERERkSBYWJJWUigUKCwsRH5%2BvtofItJtly9fxpEjR1BbW4vS0lKx40haYmIiqqurxY5BHQz3Cietk5CQgDVr1qC2tlZ1TKlUQiaT4cqVKyImk5Zly5a1eE1ERMQjSKI7PDw8IJPJmr3m2LFjjyiNbiktLcXChQtx8eJFGBgYICEhATNmzMC2bdvg5OQkdjxJ8vLyQl5eHiZOnAhfX1%2B4uLiIHYk6AH2xAxD92UcffYSXX34Z7u7u0NNjU/1h3blzB9988w3GjRuHXr16oaioCF9//TWefvppsaNJzqJFiwAAly5dwrFjx/D888/D3t4eBQUFiIuLw/jx40VOKF3vvPMO%2Bvfvj7i4OIwZMwZ9%2B/bFvHnz8N5772Hnzp1ix5Ok5ORkXLx4EUlJSQgNDUXXrl3h4%2BMDb29v2NjYiB2PdBQ7lqR1XF1dkZqayqJSIAsWLMDMmTPVip5vv/0WsbGxiI%2BPFzGZdE2dOhUbNmxA3759Vcdu3bqFefPm4fDhwyImk66RI0fi6NGjMDY2hqurK9LT01FXV4cRI0YgIyND7HiSp1Ao8O2332Ljxo24du0aRo4ciVmzZsHd3V3saKRj%2BJubtM7UqVPZoRBQWloaxo0bp3Zs%2BPDhuHTpkkiJpC8nJwf29vZqx2xsbFBcXCxSIukzMDBATU0NgN%2BnvgBAZWUlunTpImYsnXDp0iW89957WLFiBQoLCxEQEIDRo0cjPDwcq1atEjse6RgOhZPWeeqppxAcHIzIyEiYmZmpneP8tdbr0aMHvvrqK0yePFl1LDExEQ4ODiKmkraBAwdi3bp1ePXVV9G5c2dUV1cjPDycc9gegoeHB1555RWsWLECMpkMpaWlCA8Px9ixY8WOJln/%2Bte/sG/fPty6dQujRo3CqlWr4O7uDn3933/1Dx48GHPnzmVxSYLiUDhpnQkTJmDgwIEYPnw4OnXqpHZu%2BvTpIqWSrmPHjmHJkiV44oknYGtri9zcXFy/fh2xsbFwc3MTO54k/fzzz5g/fz4KCgpgbm6OO3fuoHfv3vjXv/4FW1tbseNJUmVlJZYtW4YjR44AAGQyGcaOHYv333%2B/yRtM0sykSZNUcyr/8pe/NDl/%2B/ZtpKSkYObMmSKkI13FwpK0jpOTEzIzM8WOoVN%2B/vlnHDx4EMXFxZDL5fDy8kKvXr3EjiVpCoUC586dU72mzs7OnBcsgLKyMuTm5sLGxoY3mLQThUKh6loSCY2FJWmdBQsWYP78%2BVxihLROYWEh5HJ5s2uq2tnZPcJEuiM/Px///Oc/8eabb%2BLvf/871q1bhx9%2B%2BAEbN26ElZWV2PEkKTs7Gx9//DGKiorQ0NAAAKirq8Mvv/yC1NRUkdORrmJhSVpnzZo1SExMhJubG8zNzdXOcd1FzXl5eSE5ObnZtRc5Z7V1nJ2dce7cOTg6OjZ5TbnW6sOZP38%2BLC0tsXz5cpiamqKsrAwbNmxAeXk5Nm7cKHY8SQoICIBSqYS5uTlKS0vx%2BOOPIykpCYGBgQgNDRU7Huko9sJJ61RVVWHixIlix5C8efPmAfjf2ov08A4cOABAs4K8sbtJmsnMzMTp06dhYGAAALCwsMCKFSswZswYkZNJ18WLF3HixAnk5%2Bfjo48%2BUr2en3zyCQtLajcsLEnrsCspDC8vLwCa3fDU2N2k5jXemNOjR48Wr500aRLOnTvX3pF0hr6%2BPsrKytTmVZaXl8PIyEjEVNJmbGyMbt26QV9fH9evXwcAjBkzBq%2B99prIyUiXsbAkrRMdHf3Ac3yX3T5yc3PFjqBzOMuodSZOnIjFixdj6dKlsLW1RUFBATZu3IgJEyaIHU2y7O3tcfLkSYwdOxYNDQ3IyclB586doVAoxI5GOoyFJWmdtLQ0tY/v3r2Ln376icPj7ail/a%2Bp9fiats4rr7yC1atXY/78%2BaitrUXnzp3h7e2NpUuXih1NsubNm4fFixdj//798PPzw7PPPotOnTpx61FqV7x5hyRh3759SEtLwzvvvCN2FJ3UeFMKCYevadvU1dWhvLwclpaWLM4FUFRUBAsLCxgYGODgwYOoqKiAt7c3OnfuLHY00lHsWJIkTJs2jUUlkQ7av38/pkyZgqSkpAde4%2B3t/QgT6ZY/zlmdNGmSiEmoo2BhSZKQnp4OExMTsWMQkcBiY2MxZcqUBy4pJJPJWFi20v2Ww/ozLotF7YWFJWmdP6%2B7WFdXh9u3byMkJETEVETUHvbv3w8AeO%2B99%2BDk5NRkG1dqve3btwMATp8%2BjVOnTiE0NBT29vYoKCjAxx9/jJEjR4qckHQZ51iS1tm7d6/ax3p6eujbty8GDhwoUiLdx200hTds2DDubtIKbm5uOHHiBIyNjcWOojM8PT0RHx%2BvNhxeUlKCmTNn4sSJE%2BIFI53GjiVpHU3WXaTWKS8vR0pKCoqLi2FnZwd3d3eYmpqqzjd2OEhzZ86cQV5eXpNlhRqHbVlUtk6vXr1w4cIFuLq6ih1FZ5SVlaFr165qxwwNDXHv3j2RElFHwI4laZ2ioiLExMTg5s2bqv1tG7EAar2zZ88iJCQExsbGqn2ulUol4uLi0K9fP7HjSdLKlSuRkJAAa2trtWkbMpmM22S2UXBwMFJTU9GzZ88mryu/79tmwYIF6Ny5M1555RXI5XLk5OTg3XffhampKT788EOx45GOYmFJWicoKAi3b9/GuHHjVNu7NeIC6a3n6%2BsLT09PLFiwAMDvC3dHR0cjPT0dO3bsEDmdNA0dOhRxcXGcniEgbowgvJKSEixduhRnz55VFeojR47Ehx9%2B2KSTSSQUFpakdYYOHYrDhw/DwsJC7Cg6wcnJCRkZGdDX/9/Ml7q6OgwbNgxnz54VMZl0eXh44NChQ1wLsB00rmNpbm7OG3kEkp%2Bfj6KiIsjlctW2pI0al3siEoqe2AGI/szMzIy/sAXUu3fvJjfmZGVl4W9/%2B5tIiaQvJCQEb7zxBq5evYr8/Hy1P9Q2lZWVeO211/Dkk09i9OjRePLJJ/H222%2BjtrZW7GiSZ2dnBycnpyZFJQC89dZbIiQiXcaOJWmdhIQEnDx5Ei%2B%2B%2BCL%2B8pe/qJ2zs7MTKZV0rVu3Dl988QV8fX3h4OCA4uJi7NmzB66urmrFJYcbNRcfH4%2BIiAi1OcBKpRIymYzrA7bRq6%2B%2Bilu3bmHx4sWwtbVFTk4OoqKi4OzsjOXLl4sdT2dxRQgSGgtL0jqOjo6qvzfOC%2BIv7bYLCAho8RqZTMYbJFphxIgRWLRoEUaNGgU9PfWBnx49eoiUStqGDh2KQ4cOwdLSUnWsqKgI06ZN4x327Yhbj5LQuNwQaR1N7qotLCyEXC5/BGmkjzfoCK%2B%2Bvh7PPfec2DF0iqGhYZM5lV26dOG6lkQSw44lSRLfZbfO0aNHsXv3buTl5cHKygozZsyAl5eX2LEka926dbC1tcWcOXPEjqIz4uPjceTIESxfvhwODg4oKirCBx98AHt7e/j7%2B6uu43QYYfFnKQmNhSVJEucFaS45ORmrV6%2BGn58fevbsiezsbHzxxRd4/fXXMXPmTLHjSZK/vz/Onj2LLl26oFu3bmprLnIdy7b58xSYP/5qavyY02GEx8KShMahcJKkP/4ip%2BZt3rwZ0dHRGDZsmOrY2LFj8fbbb7OwbKMZM2ZgxowZYsfQKZoU5AUFBY8gScfC3hIJjYUlkY7Lz8%2BHm5ub2jFXV1cUFhaKlEj6/rjtaFlZGddcFYAmNz15eXmxu9YK58%2Bfx%2BDBg5scP3XqFMaMGQPg9wXTiYTEdSyJdJxcLkdGRobasYyMDM5VewgKhQIbNmyAi4sLPDw8kJOTA19fX5SUlIgdTaexu9Y6zz//fJNjFRUVWLJkierj5nY8ImoLdiyJdNzcuXOxcOFC%2BPn5oVevXsjOzsbu3buxbNkysaNJVlRUFFJTUxEZGYmwsDBYWlpCLpcjPDwckZGRYsfTWZwC07Jbt25h8uTJqK%2Bvh1KpxGOPPdbkGmdnZxGSUUfBwpJIx82cOROdOnVCYmIijh49ih49eiA8PBwTJ04UO5pkJScnY%2BfOnbCxsYFMJoOJiQkiIiLg6ekpdjTq4BwcHLBnzx78%2BuuvmDdvHjZv3qx23tDQEP379xcpHXUELCxJMmpqamBkZAQA3PKxlXx8fODj4yN2DJ1RVVWlmlfZODxrZGTUZLF0IjE0din379%2BPXr16iZyGOhoWlqR1tm/f3mR9wB9%2B%2BAGvvfYaDh8%2BDADciaMVKisr8dlnnyEnJwcKhULtXEREhEippG3IkCGIjo5GWFiYanh2x44dGDRokMjJiP7HwsICmzdvxs2bN9W2HwX4vU/th4UlaZ2YmBiYmprCx8cHCoUCUVFR2Lp1K/7xj3%2BIHU2Sli1bhvPnz%2BPJJ59kp1cgy5cvR2BgIPbu3YvKykpMmjQJlZWViIuLEzsakcqyZcuQmZkJNzc3GBgYiB2HOggWlqR1tm7diuDgYNy5cwf79%2B/Hr7/%2Bii1btqitw0ia%2B%2Babb3D48GFYW1uLHUVn2Nvb48CBA0hJSUF%2Bfj7kcjnc3d1hamoqdjSdxjdGrZOWloaEhAQOh9MjxcKStM7jjz%2BOLVu24Pnnn8ff//53fP7559wv%2BCFYWVnB3Nxc7Bg6JSQkBDExMZg0aZLa8dmzZyM%2BPl6kVNJ35swZ5OXlNVlWyNvbGwCnwLSWoaEhbGxsxI5BHQy3dCSt8ef11C5evIjU1FQEBgZCX//390ChoaFiRJO0bdu2IT8/H4sXL0bXrl3FjiNZubm5SEpKAgB88sknmD9/vtr5iooKfPnll03WDCXNrFy5EgkJCbC2tlZbVkgmk3GbzDaKjY1FcXExQkNDuYg/PTIsLElrBAQENHteJpNh%2B/btjyiN9Dk6OqrtuXy/NQC577LmGhoaEBYWhrKyMpw9exYuLi5q5w0NDeHt7Y0pU6aIlFDahg4diri4OAwcOFDsKDrDw8MD%2Bfn5at/73HOd2hsLS9JKSqUSDQ0N6NSpE0pKSmBhYYFOnTqJHUtS0tPTVX9XKBTQ19dHQ0MDfvvtN1y/fh2DBw%2BGq6uriAmlp7CwEHK5HEFBQQgPD7/vNdzRqG08PDxw6NAhzqMU0B9/BvwZv/epvbCwJK1z9epVhISEIDIyEk888QQiIiJw9OhRbNmyBb179xY7nuQcP34cK1aswHfffYdNmzYhNjYWMpkMb7zxBu%2B0byVnZ2ecO3dO1Q3%2BI3aCHs6ePXuQnp6O4ODgJlM2WKy33RdffIGxY8fCxsYG%2B/btQ21tLWbOnCl2LNJhvHmHtM7atWsxffp0PP744wCAV155BWZmZlizZg22bdsmcjrpiYmJwdKlS9HQ0ID4%2BHhERUXB0tISYWFhLCxb6cCBAwDAOX/t4LfffsPBgwexf/9%2B1TEW6w9n48aN2Lt3r6o7aWpqinfeeQfl5eV44YUXRE5HuoodS9I6Tz75JDIyMtQ6QvX19Rg2bBhvjGgDNzc3pKWl4fLly/D390dGRgb09fXh5OSEzMxMseMRAQBGjBiBRYsWYdSoCEeZXwAACuZJREFUUU12MOrRo4dIqaRtzJgx%2BOyzz9SWG8rOzsbcuXORkpIiYjLSZexYktYxNTXFL7/8gj59%2BqiO5eTk8I7mNjI2NkZpaSmOHz8OFxcX6Ovr4%2BrVq1yCiLRKfX09nnvuObFj6JSKigrY2tqqHbO1tUVVVZVIiagj6LRq1apVYocg%2BqPy8nJ89NFHMDIywt27d5GWloY1a9bA29ubE87b4N69e3jzzTfx/fff4/XXX0dFRQWCgoIQEBDQ5M5mIrGUlZXh559/xuDBg8WOojO%2B/fZbFBcXY%2BjQoapjW7ZsQXV1NaZPny5iMtJlHAonrVNfX49NmzYhKSkJJSUlsLW1hY%2BPD1544QXeGd5GaWlpMDQ0xJAhQ1BQUIALFy7g6aefFjsWkYq/vz/Onj2LLl26oFu3bmpTYTintW0uXbqEoKAgGBsbQy6Xo7CwEAqFAlu2bIGjo6PY8UhHsbAkIiLR7d2794Hn2F1ru/LycqSkpKC4uBi2trZwd3eHmZmZ6nzjElpEQmFhSVpHqVRi%2B/bt2L17N/Ly8mBlZYUZM2Zg/vz5913km4h0S1lZGXeKeUQal9AiEopey5cQPVrbt29HXFwcZs%2BejaioKAQGBmLXrl3YvHmz2NGIqJ0oFAps2LABLi4u8PDwQE5ODnx9fVFSUiJ2NJ3G3hIJjYUlaZ1du3Zh06ZNmDVrFsaMGYPZs2dj06ZN2L17t9jRiKidREVFITU1FZGRkTAwMIClpSXkcvkDdzgiYXAUiITG5YZI6xQXFzeZWO7o6Ii7d%2B%2BKlIiI2ltycjJ27twJGxsbyGQymJiYICIiAp6enmJHI6JWYMeStI6DgwO%2B/vprtWNff/01HBwcREpERO2tqqpKNa%2BycXjWyMioyWLpRKTd2LEkrfN///d/WLp0KQ4dOoRevXohOzsbx44dw8aNG8WORkTtZMiQIYiOjkZYWJhqeHbHjh0YNGiQyMmIqDV4VzhppdTUVOzduxe3b99Gjx49MGPGDDzxxBNixyKidpKdnY3AwEAoFAqUlpbCwcEBlZWViIuLU9uFi4TFu8JJaCwsiYhIK1RXVyMlJQX5%2BfmQy%2BVwd3eHqamp2LF02rBhw5Camip2DNIhLCxJawQEBLR4h%2BL27dsfURoiepRCQkIQExPT5Pjs2bMRHx8vQiLdcObMGeTl5TVZVsjb21ukRKTrOMeStIabm5vYEYjoEcrNzUVSUhKA3/e1jo6OVjtfUVGBa9euiRFNJ6xcuRIJCQmwtrZWe9Muk8lYWFK7YWFJWiM0NFTsCET0CNnZ2SErKwtlZWWor69HWlqa2nlDQ0OsXLlSpHTSd/DgQezevRsDBw4UOwp1ICwsSesoFAps3rwZ%2B/btQ1FREXr27Ilnn30W/v7%2BYkcjIgHp6elh2bJlkMvlCAoK4mLoAjMzM0P//v3FjkEdDOdYktZZv349jhw5ghdeeAG2trbIzs7Gtm3b4Ofnh3nz5okdj4gE1HhXsqOjY5M51kqlEjKZDFeuXBEpnbTt2bMH6enpCA4ORteuXdXO2dnZiZSKdB0LS9I67u7u2LFjB3r16qU69tNPP%2BHFF1/E8ePHRUxGREIrKCiAra0t8vLyHnhNjx49HmEi3REfH4%2BIiAg0NDSojrFYp/bGoXDSSlZWVmof29nZoaKiQqQ0RNRebG1tAbB4bA%2BbNm3CihUrMGrUKO5gRI8MO5akdTZv3oysrCy89dZbMDU1RU1NDd59911069YNYWFhYscjIpIENze3JjdEEbU3FpakNRrnWDX%2Bk9TT04OZmRkqKyuhUChgbm6O77//XuSURETSsG7dOtja2mLOnDliR6EOhIUlaY309PQWr3F1dX0ESYiIpM/f3x9nz55Fly5d0K1bN7Wbo44dOyZiMtJlLCxJkri/LRFR8/bu3fvAc9OnT3%2BESagj4c07JEl8P0RE1Lw/Fo9lZWWwsLAQMQ11FLxNjCSppT3FiYg6OoVCgQ0bNsDFxQUeHh7IycmBr68vSkpKxI5GOoyFJRERkQ6KiopCamoqIiMjYWBgAEtLS8jlcu5wRO2KQ%2BFEREQ6KDk5GTt37oSNjQ1kMhlMTEwQEREBT09PsaORDmPHkoiISAdVVVWp5lU2zks3MjLiYunUrvivi4iISAcNGTIE0dHRAP43L33Hjh0YNGiQmLFIx3G5IZIkJycnZGZmih2DiEhrZWdnIzAwEAqFAqWlpXBwcEBlZSXi4uLQp08fseORjmJhSVqptrYWJ0%2BeRF5eHvz8/HDr1i04OjqqznPpDCKillVXVyMlJQX5%2BfmQy%2BVwd3eHqamp2LFIh7GwJK2TnZ2NoKAg1NXV4ddff0ViYiKmTJmC6OhojBs3Tux4RESSEBISgpiYmCbHZ8%2Bejfj4eBESUUfAu8JJ66xduxY%2BPj4ICQmBq6srevfujfDwcGzcuJGFJRFRM3Jzc5GUlAQA%2BPbbb1VzLBtVVFTg2rVrYkSjDoKFJWmdH374AVFRUZDJZKoJ59OmTcPatWtFTkZEpN3s7OyQlZWFsrIy1NfXIy0tTe28oaEhVq5cKVI66ghYWJLWMTMzw%2B3bt2FnZ6c6VlJSgm7duomYiohI%2B%2Bnp6WHZsmWQy%2BUICgriYuj0yLGwJK3j5eWF0NBQvPTSS2hoaMCPP/6I999/H5MnTxY7GhGR1ps0aRLOnTuH7777DuPHj1c7p1QqIZPJcOXKFZHSka7jzTukderq6vDhhx9i165dqK6uhpGREWbMmIFXX30VnTt3FjseEZFWKygogK2tLfLy8h54TY8ePR5hIupIWFiS1ikpKYGVlRWA35cVMjc3h0wmQ1ZWFvr16ydyOiIiInoQ7rxDWmfChAmqv1tYWEAmk6G%2Bvh5%2Bfn4ipiIiIqKWcI4laYVbt24hODgYSqUS1dXVTeYF1dTUcOiGiIhIy3EonLRGSkoK7ty5g1WrVmH16tVq5wwNDTF06FDVEDkRERFpHxaWpHXS09Ph6uoqdgwiIiJqJRaWpHVqa2uRnJyMoqIiNDQ0APj9TvHr16/fd3syIiIi0g6cY0laZ/ny5fjmm29gbm6Ouro6mJiYICsrC97e3mJHIyIiomawsCSt880332Dnzp0oKyvDzp078cEHH2Dbtm348ccfxY5GREREzeByQ6R1Ghoa0KdPH/Tp00e1O4S/vz/OnDkjcjIiIiJqDgtL0jpyuRw5OTmwsLBAaWkpqqqqoFQqUVlZKXY0IiIiagaHwknreHl5YdasWUhISIC7uztCQkJgaGiIgQMHih2NiIiImsG7wkkrffXVVxg7diwaGhqwfv16VFRUYOnSpejZs6fY0YiIiOgBWFiS1ggICIBMJmv2mu3btz%2BiNERERNRanGNJWsPNzQ2urq6ws7PD5cuX8dhjj2HChAkYPHgwrl27ht69e4sdkYiIiJrBjiVpnVmzZuHll1%2BGs7Oz6tjFixfx5ptvYu/evSImIyIiouawY0la58qVKxg8eLDasQEDBuDmzZviBCIiIiKNsLAkrdO3b198%2BumnasdiY2Ph6OgoTiAiIiLSCIfCSeucO3cOCxYsgImJCeRyOfLz89HQ0ICtW7diwIABYscjIiKiB2BhSVrp7t27OHHiBIqKiiCXy%2BHh4QEzMzOxYxEREVEzWFgSERERkSA4x5KIiIiIBMHCkoiIiIgEwcKSiIiIiATBwpKIiIiIBMHCkoiIiIgEwcKSiIiIiATBwpKIiIiIBMHCkoiIiIgE8f9v2cjec%2BOykwAAAABJRU5ErkJggg%3D%3D\" class=\"center-img\">\n",
       "    <img src=\"%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJzs3Xl8TXf%2Bx/H3DdnRaCTWKFWhljY3SGiVxjJGW8ug0lJFUbUkoaa1zEw7tQ1TpkOUqjKmuohautHqULQzJakmWq3GvoRoNoIsZLu/P9Lcn9uE3NSJm1uv5%2BNxH5HvPefkc7%2B4ed/P2UwWi8UiAAAA4Aa5OLoAAAAA/DYQLAEAAGAIgiUAAAAMQbAEAACAIQiWAAAAMATBEgAAAIYgWAIAAMAQBEsAAAAYgmAJAAAAQ1R3dAEAbi2JiYlav369du/erZSUFF25ckW33367mjdvrgcffFCDBg2Sh4eHo8sEAPwKJm7pCOBmWbx4sZYtW6aioiLVqFFDjRs3lqurq9LS0pScnCxJql%2B/vl599VW1bt3awdUCACqKYAngptiwYYNmzJghLy8v/e1vf1PPnj1VrVo16/NHjx7VjBkztG/fPtWuXVtbtmzR7bff7sCKAQAVxTGWAG6K1157TZL0/PPP6/e//71NqJSkZs2aadmyZfL19dX58%2Bf15ptvOqJMAMANIFgCqHQXL17UqVOnJEn33nvvNZe7/fbb1aNHD0nSd999d1NqAwAYh5N3AFS66tX//61mx44datWq1TWXjYiI0JNPPilfX1/r2LRp07Rp0yZNnz5dDzzwgF555RV9/fXXysvL0x133KE//OEPeuyxx%2BTu7l7mNr/%2B%2BmutWbNG8fHxyszMVK1atRQUFKRhw4apU6dOZa5z8eJFrV27Vrt27dKRI0eUlZUlT09PNW7cWGFhYXryySd122232azTokULSdL//vc/zZs3T9u3b5eLi4tat26tVatW6c9//rM2bdqk2bNnq0OHDoqOjtaePXt06dIlNWrUSI8%2B%2BqhGjBghk8mkzz77TP/%2B97/1448/qqioSC1bttS4cePUtWvXUrVevnxZGzZs0LZt23Tw4EFdvHhRbm5uatCggTp37qyRI0eqbt26Nut069ZNZ86c0ZYtW5SRkaE33nhD3377rXJyctSoUSP17t1bo0aNkre39zX/rgDglzjGEsBN8fjjjys%2BPl4mk0n9%2BvXToEGDFBwcXGqXeFlKguWAAQO0detW5eTkqHnz5iooKNCxY8ckSe3atdPy5ctVs2ZNm3UXLFigFStWSJJuu%2B02NWrUSKmpqUpLS5MkjR49Ws8995zNOidOnNCIESN09uxZVa9eXY0bN5anp6fOnDmjzMxMSVLTpk21YcMGm%2BBVEiyDg4OVkJCgwMBAnTt3TqGhoVq4cKHN6/jkk09UUFCgZs2aKSMjw1rP008/LZPJpOXLl6tWrVoKCAjQ8ePHlZOTI5PJpNdff11dunSx/sxz585p%2BPDhOnTokEwmkxo3bqyaNWsqJSXFuk1fX19t3LhR9erVs65XEixHjhyp1atXy83NTU2aNNGFCxf0008/SZLMZrPefvttu/6OAECSZAGAm%2BCHH36wBAUFWQIDA62P4OBgy5gxYyzLly%2B37Nu3z1JYWFjmulOnTrWuExYWZjlw4ID1ufj4eMt9991nCQwMtPzlL3%2BxWe/dd9%2B1BAYGWtq3b2/54IMPrONFRUWWzZs3W%2BtZt26dzXpPPPGEJTAw0DJ48GBLSkqKzXqbNm2ytGzZ0hIYGGh56623bNYrqbFNmzaWuLg4i8VisRQWFlrOnz9f6nU8/vjjltTUVOsy06ZNswQGBlpatmxpadGihWXlypXW%2BTh37pylf//%2BlsDAQMsTTzxR5tz07NnTcvz4cZvnvvjiC8u9995rCQwMtMybN8/mubCwMGst06ZNs1y8eNH6Gt966y3rc//5z3/K/DsBgLJwjCWAm6JVq1Z677331K5dO%2BtYVlaWdu3apYULF2rw4MHq3LmzXnnlFeXm5pa5DRcXFy1dulR33323dcxsNmv%2B/PmSpPfee08pKSmSpLy8PEVHR0uS5s6dq759%2B1rXMZlMeuihh6ydyujoaBUUFEiSMjIydPjwYUnSrFmz5O/vb7Ne//79FRISIkk6ePBgmXX27t1bHTp0sNbs4%2BNj83z16tX1j3/8Q35%2BftZlnn76aUlSUVGR%2BvXrp6eeekouLsVv0bVr19aTTz4pSTpw4IB1OwUFBdq7d69MJpOmT5%2BuJk2a2PycBx54QA899JAk6dChQ2XW2rJlS82dO9fa6TWZTBo6dKi1%2B/rNN9%2BUuR4AlIVgCeCmueuuu/TOO%2B/o/fff18SJE2U2m%2BXq6mp9PiMjQ6%2B99pr69u1r3R17tY4dO6ply5alxjt37qxGjRqpqKhIO3bskCQlJCQoPT1d3t7e6t69e5n19O3bVy4uLkpJSbEGNl9fX%2B3Zs0fffvutAgMDS61TWFioGjVqSCo%2BtrEsV4fnsrRo0cJmt7QkNWzY0Prnso6jLAm4WVlZ1rHq1atr27Zt%2Bvbbb/Xggw%2BWWsdiscjLy%2Bu6tT744IMymUylxu%2B8805J0qVLl677WgDgapy8A%2BCmu/vuu3X33XcrIiJCubm5io%2BP13//%2B1998MEHysjI0KlTpxQVFaWYmBib9e65555rbrNFixY6ffq0Tpw4IUnWrmN%2Bfr6GDh16zfWqVaumoqIiHTt2zGb7Hh4eOnv2rL799ludOnVKSUlJOnr0qH788Ufl5ORIKu4ulqWkE3kt9evXLzXm5uZm/XPt2rVLPX/1CVC/5O7uroyMDO3bt08nTpzQ6dOndezYMf3444%2B6cOHCdWu9uiN7tZK7HxUWFl77hQDALxAsATiUp6en7r//ft1///2KiorSjBkztHnzZu3bt08//PCDzR14fnkW9tVKOnMXL16U9P%2Bdtry8PMXHx5dbR8l6knTs2DH9/e9/165du2wCWY0aNdS%2BfXulpqYqMTHxmtsq75aUnp6e132%2BZBe4PdLS0jR//nx9%2Bumnys/Pt/kZbdu2VWFh4XV3Z18daMti4fxOABVAsARQ6V544QXt2bNHf/jDHzRu3LhrLufh4aGZM2fqs88%2BU35%2Bvo4fP24TLEs6hWUp2UVccpmikvDWunVrbdy40e5aMzIy9MQTTygjI0MNGjTQ4MGD1apVK915551q1KiRTCaTpkyZct1gebNcuXJFw4cP19GjR%2BXj46PHH39cbdq0UbNmzdS4cWNVq1ZNr7zyCsdJArhpCJYAKt2VK1d08uRJbdu27brBUiruCnp7eyszM7PULR1Ldm%2BXpSTo3XXXXZKKLwckFV86qKCgoMxdyRaLRbGxsapXr54aNGggNzc3bdiwQRkZGfLx8dGGDRvKvK1kyQlCjrZt2zYdPXpU1atXV0xMTKmTdySVeawqAFQWTt4BUOlKzsj%2B/vvvy%2B0e/ve//1VmZqZ8fHxK3aXniy%2B%2BsF6b8Wo7duzQ2bNn5ebmpm7dukmSOnTooJo1ayo7O/uaP/Ojjz7S8OHD1bt3b2sAO336tCSpQYMGZYbKI0eOaN%2B%2BfZIcf/xhSa3e3t5lhsr09HTt3LlTkuNrBXBrIFgCqHT333%2B/evXqJUn685//rDlz5lhDUYkrV65ow4YNmjRpkiQpKiqq1F1fcnJyNH78eJ09e9Y6Fhsbq%2BnTp0sqvrh4yWVzvLy8rJfwmTNnjjZs2GBzvOS2bdv04osvSiq%2BPFDjxo0l/f/Z0ImJidq6dat1eYvFoi%2B%2B%2BEKjR4%2B2Hst4rcsi3SwltV64cEH//ve/bY6H3Ldvn0aOHGm9oLujawVwa2BXOICbYsGCBfLy8tL777%2BvN998U2%2B%2B%2BaYaNGggX19fXblyRSdOnFBeXp5cXV01ZcoUDRkypNQ2mjRpoh9//FE9evRQYGCgcnJyrGeBP/LIIxo7dqzN8mPGjFFSUpLWrVunGTNm6OWXX1ajRo2UkpKi1NRUScV3yZk9e7Z1nUGDBumdd97RyZMnFRkZqYYNG6p27do6e/asMjIy5OrqqpCQEMXFxTl8l3i3bt1kNpuVkJCguXPnasWKFapbt67S0tKUkpIik8mk%2B%2B67T1999ZVSU1NlsVjKvLQQABiFYAngpnBzc9O8efM0dOhQbdmyRbGxsUpJSVFiYqI8PT3VtGlTde7cWYMGDbJ24n6pbdu2WrBggRYvXqxvvvlG1atXV0hIiB5//HHrhcCvZjKZNGvWLPXq1Utr167Vvn379OOPP8rd3V1BQUF65JFHFB4ebnNmdI0aNbR%2B/XqtWLFCO3bs0OnTp5Wenq569erpwQcf1PDhw%2BXl5aUePXooMTFRycnJatCgQaXN2/VUq1ZNq1ev1po1a7R582YlJSXp0KFD8vPz00MPPaShQ4eqdevWCg0NVWZmpuLj48u9xiYA3AjuFQ6gyiu5x3afPn20YMECR5cDALgGjrEEAACAIQiWAAAAMATBEgAAAIYgWAIAAFRx586dU8%2BePRUbG3vNZXbt2qU%2BffooKChIvXv31o4dO2yeX7Fihbp06aKgoCANGzZMx44dM7xOgiWAKm/evHk6ePAgJ%2B4AuCV98803Cg8P16lTp665zIkTJxQREaGoqCjt3btXERERmjRpkvWyaJs2bdKaNWu0cuVKxcbGqnXr1oqMjJTR53ATLAEAAKqoTZs26Y9//KMmT55c7nLt27dXjx49VL16dT300EPq0KGDYmJiJEnr1q3TkCFD1Lx5c7m7u2vKlClKTk6%2Bbgf01yBYAgAAVJLU1FT98MMPNo%2BSGzTYo3PnzvrPf/5T5rV6r3bkyBEFBgbajN11111KTEws83lXV1c1adLE%2BrxRuED6rcwZ7sDRtKl0%2BLDUvLl0/LijqylfXp6jK7BP9epSQYGjqyifi5N89nVxka66XWSV9vOdiqq06tWlxo2lU6ec49/pNS7ojxvgqN9PlfBzYxYv1pIlS2zGJk6cqIiICLvW9/Pzs2u57OxseXp62ox5eHgoJyfHrueNQrBE1ebjI1WrVvwVxnGGDxXOhPk0lotL8Zw6ywcLZ2EySdwT5aYLDw9Xt27dbMbsDYsV4enpqcuXL9uMXb58Wd7e3nY9bxSCJQAAgFQpH2b8/f3l7%2B9v%2BHZ/KTAwUD/88IPN2JEjR9SmTRtJUvPmzXX48GGFhYVJkvLz83XixIlSu89vFB8HAQAAnFzfvn0VFxenLVu2qKCgQFu2bFFcXJz69esnSRo4cKDeeustJSYm6sqVK1q4cKHq1Kmj9u3bG1oHHUsAAADJ6Q6/MJvNeumll9S3b181a9ZMr776qhYsWKA//elPatiwoaKjo9W0aVNJ0qBBg3Tp0iVNmDBB586dU9u2bbV8%2BXK5uroaWpPJYvQFjOA8nOG4MLNZio%2BXgoOlhARHV1M%2BZzl5x9VVys93dBXlc5Y3%2BWrVpMJCR1dhH2c4ecfNTQoIkJKSnOP/lLOcvONMx1g66veTu7vx27xyxfhtVmFO8q4NAACAqo5d4QAAAJLz7CWpwphBAAAAGIKOJQAAgETH0gAESwAAAIlgaQBmEAAAAIagYwkAACDRsTQAMwgAAABD0LEEAACQ6FgagGAJAAAgESwNwAwCAADAEHQsAQAAJDqWBmAGAQAAYAg6lgAAABIdSwMQLAEAACSCpQGYQQAAABiCjiUAAIBEx9IAzCAAAAAMQccSAABAomNpAIIlAACARLA0ADMIAAAAQ9CxBAAAkOhYGoAZBAAAgCHoWAIAAEh0LA1AsAQAAJAIlgZgBgEAAGAIOpYAAAASHUsDMIMAAAAwBB1LAAAAiY6lAQiWAAAAEsHSAMwgAAAADHFTg%2BWJEydu5o8DAACwn4uL8Y9bzA2/4ujoaA0bNqzc5T7//HONGjXqRn%2BcJCk2NlYtWrS44ZrKM2zYMEVHR9/wdgAAgBMgWN6wm/aKMzMzZbFYbtaPAwAAwE1W4WAZHx%2BvgQMHKigoSI899phOnz4tSbJYLHr99dfVp08ftW/fXh06dNCUKVN0%2BfJlxcbG6sUXX1RycrLMZrNSUlKUl5enRYsWqXv37goJCdGYMWN08uTJCtXy%2Buuvq2vXrurSpYtefvll5eXllbnctm3bNGDAAAUHB6tXr15avXq1ioqKJEkFBQVatGiRunbtquDgYA0dOlSJiYmltnHgwAF17NhRq1evLreu06dPq0WLFnrvvffUrVs3tWvXTiNHjtRPP/0kSdq4caO6detms87V3dFp06Zp5syZGjt2rMxms3r27Kndu3dr1qxZ6tChg%2B6//3699957FZkqAABQHjqWN6xCZ4WfP39eY8eO1ZgxYzRy5Eh99913evrpp9WqVSt98sknevPNN/XWW2%2BpSZMmOnr0qIYMGaKPPvpIjz76qF566SUtWbJEn3/%2BuSRp/vz52rNnj1avXi1/f3%2BtWLFCTz31lLZs2SJ3d3e76jl06JC2bNmi9PR0jR49Wl5eXpowYYLNMnv27NGkSZP097//Xb/73e908OBBjR8/XpI0YsQILVu2TB9//LFWrlyppk2basmSJRo7dqy1Tkn6/vvvNXr0aE2ZMkWPPvqo3fO1c%2BdOvf/%2B%2B8rLy9PIkSO1dOlSzZw50651N2zYoJUrV2rZsmV67rnnNGrUKE2fPl27d%2B/WO%2B%2B8o5kzZ6pfv35yc3Oza3upqalKS0uzGfNr2lT%2BPj52vx6HaNnS9iuAG2Pne4ZDubrafgXgNCoULHfu3ClPT0%2BNGTNGJpNJ7dq108CBA/Xjjz%2BqS5cuCg4OVr169XTu3DmdP39ePj4%2BSklJKbUdi8WitWvXavHixQoICJAkTZgwQevWrdPOnTvVq1evcmsxmUx64YUX5O3tLW9vb40ePVqrVq0qFSw3btyo7t2766GHHpIktW7dWk8//bTWrFmjESNGaNOmTRo7dqzuuusuSdK4cePUtWtX6277H374QW%2B%2B%2BaaefvrpCoVKSRozZoxq1aolSerWrZsSEhLsXrdjx45q37699c%2B7du2yHjcaFhamOXPmKD09XQ0aNLBrezExMVqyZInN2MSoKEVERdldk0O9846jK/jt4Ze2sapVc3QF9vn5Pdcp1Kvn6Ap%2Be0wmR1dQPkceNncLdhiNVqFgmZKSovr168t01T/Mxo0b68cff5TFYtErr7yiHTt26Pbbb9fdd9%2Bt/Pz8Mo%2BrPHfunHJychQVFSWXq/4S8/PzdebMGbtqqVWrljW0SVL9%2BvXLDLEZGRm6%2B%2B67bcYaNWpk/TlpaWk24czNzU1BQUHW77/66iuZzWZ9/PHHGj58uN0dQkmqU6eO9c/Vq1ev0DGmPld1EqtVq2bzWkvmv2R3vj3Cw8NL7X7369NH%2Bve/7d6GQ7RsWRwqhwyRyjhEocqJjXV0BfZxdZXy8x1dRfmc5U2%2BWjWpsNDRVdgnOdnRFZTP1bU4VP70k3P8O23UyNEV2MdkcmxocwbO8p5ThVUoWNarV09nzpxRUVGRNRCWHDe4YMECJScn6/PPP1eNGjUkSX369ClzO7Vr15a7u7tWrVplE%2BKOHTumunXr2lVLVlaWcnJy5OXlJUlKSkpSw4YNSy3XsGFDnTp1ymYsKSlJfn5%2BkooD6dmzZ63P5efn6%2BWXX9bo0aMlFe8uHzt2rPr06aPo6GhNmTLFrvqux8XFpdTxoOfPn7f53mTwp0p/f3/5%2B/vbDh4/bujPqFSJiVIFOr4AruEax6JXSfn5zlUvgIqdvNOtWzdZLBZFR0crLy9P33//vfUkkqysLLm7u6tatWq6cuWKVq1apUOHDin/50%2Bb7u7uys3NVUFBgVxcXDRo0CAtXLhQP/30k4qKirRp0yY98sgjdp/AU1hYqHnz5iknJ0dHjx7VypUr9dhjj5VabuDAgfr888/1ySefqLCwUAcOHNCKFSs0cOBASdKAAQO0cuVKHT9%2BXAUFBVq%2BfLm2bdum2rVrS5JcXV3l7e2tOXPmaNWqVYqPj6/IlJWpWbNmSk9P1549e2SxWPTBBx/o6NGjN7xdAABwAzh554ZVqGNZq1YtrVy5Un/961/1r3/9S3fccYd69eql48ePa9KkSZo%2Bfbruu%2B8%2BeXl5qV27durXr58OHTokSerQoYN8fX3VoUMHrV27VlOnTlV0dLSGDBmizMxMBQQEaPHixWrVqpVdtfj4%2BMjHx0ddu3aVt7e3HnvsMQ0dOrTUcvfee68WLVqkV199VTNmzFDt2rX1%2BOOPa8yYMZKk0aNHq6CgQKNGjdKFCxfUtm1brVixQq6/OP6sU6dOevTRRzV16lR98MEH1k7pr9G2bVuNGzdO06ZNU3Z2tnr06GHXcaUAAABVmcnCxSVvXc5wELfZLMXHS8HBzrEr3Fl223GMpbGc6RhLZ7gDmptb8UlGSUnO8X/qzjsdXYF9nOkYS0f9furUyfht7t5t/DarsAp1LAEAAH6znOXDbBVW5YJlRkaGevTocd1lKnLZnsoQGhp6zYuxS9LmzZvtvgwQAADAtWRkZOgvf/mL4uLiVK1aNfXt21dTp05V9eq2EW706NH65ptvbMZycnIUHh6umTNnKj09Xffff7/NoXy1a9e2uW63EapcsPT19XV4cCxPrLNcUgYAANivCnYsJ02apLp16%2BrLL79Uenq6xo0bp9WrV1uvXlPijTfesPl%2B/fr1WrJkiSZOnChJ2r9/vxo2bGh4kPylqjeDAAAA0MmTJxUXF6fnnntOnp6eCggI0Pjx4/X2229fd71jx45p1qxZWrBggfVSg/v371ebNm0qveYq17EEAABwiEroWJZ5S2U/v9LXli7D4cOH5ePjY3ON72bNmik5OVkXL160uXnK1V566SX179/fegc/qThYXrhwQY888ojS09PVtm1bTZ061XrnQaMQLAEAAKRKCZZl3lJ54kRFRESUu252drY8PT1txkq%2Bz8nJKTNY7t27V99%2B%2B60WLFhgM16rVi3dddddGjNmjNzc3LRo0SKNHDlSW7ZsUc2aNSv6sq6JYAkAAFBJyryl8s93/yuPl5eXcnNzbcZKvvf29i5znZiYGPXu3bvUz1i4cKHN99OnT9eGDRu0d%2B9ehYWF2VWPPQiWAAAAUqV0LMu8pbKdmjdvrszMTKWnp6tOnTqSpKNHj6pevXpldhkLCgq0fft2vfrqqzbjWVlZevXVV/XEE09Yb39dWFiogoICeXh4/KraroWTdwAAAKqgJk2aqF27dpo7d66ysrKUlJSkpUuXatCgQWUuf/DgQV25ckXBwcE24zVq1NBXX32l%2BfPn69KlS8rOztasWbPUqFEjm%2BMwjUCwBAAAkKrkvcIXL16sgoICde/eXYMHD9YDDzyg8ePHS5LMZrM%2B/PBD67JJSUm67bbb5O7uXmo7S5cuVVFRkXr06KEHHnhAaWlpZd7C%2BkZxS8dbGbd0NJ4z3H5O4paORuOWjsbilo6Vg1s6lq9XL%2BO3uXWr8duswpzkXRsAAABVHSfvAAAASM6zl6QKYwYBAABgCDqWAAAAEh1LAxAsAQAAJIKlAZhBAAAAGIKOJQAAgETH0gDMIAAAAAxBxxIAAECiY2kAgiUAAIBEsDQAMwgAAABD0LEEAACQ6FgagBkEAACAIehYAgAASHQsDUCwBAAAkAiWBmAGAQAAYAg6lgAAABIdSwMwgwAAADAEHUsAAACJjqUBCJYAAAASwdIAzCAAAAAMQccSAABAomNpAIIlAACARLA0ADMIAAAAQ9CxBAAAkOhYGoBgeSvLy3N0BfaLjXV0BfZxc3N0BeUzm6X4eCk0VEpIcHQ115eT4%2BgKymcySdWqSfn5ksXi6GrKdcm/maNLKJeLi%2BQtKfv2ABUVObqa8tVwdAF2MkmyyOToMuziHFWiLARLAAAAiY6lAQiWAAAAEsHSAMwgAAAADEHHEgAAQKJjaQBmEAAAAIagYwkAACDRsTQAwRIAAEAiWBqAGQQAAIAh6FgCAABIdCwNwAwCAADAEHQsAQAAJDqWBiBYAgAASARLAzCDAAAAMAQdSwAAAImOpQGYQQAAABiCjiUAAIBEx9IABEsAAACJYGkAZhAAAKCKysjI0Pjx49W%2BfXuFhoZqzpw5KigoKHPZ0aNHq23btjKbzdbHF198IUkqLCzU/Pnzdd9998lsNmvcuHFKTU01vF6CJQAAgFTcsTT6cYMmTZokLy8vffnll1q/fr12796t1atXl7ns999/r5UrVyohIcH66NKliyRp2bJl%2Bt///qcNGzboyy%2B/lIeHh/785z/fcH2/RLAEAACogk6ePKm4uDg999xz8vT0VEBAgMaPH6%2B333671LJJSUm6cOGCWrVqVea23nvvPY0ZM0b169dXjRo19Kc//UlffPGFkpKSDK2ZYywBAACkSjnGMjU1VWlpaTZjfn5%2B8vf3L3fdw4cPy8fHR3Xr1rWONWvWTMnJybp48aJq1aplHd%2B/f7%2B8vb01efJk7d%2B/X3Xq1NGIESM0aNAgXbp0ST/99JMCAwOty9epU0e33XabDh48qICAAANeaTGCJQAAgFQpwTImJkZLliyxGZs4caIiIiLKXTc7O1uenp42YyXf5%2BTk2ATLvLw8BQUFafLkyWrevLliY2MVEREhb29vmc1mSZKXl5fNtjw8PJSdnf2rXte1ECwBAAAqSXh4uLp162Yz5ufnZ9e6Xl5eys3NtRkr%2Bd7b29tmvH///urfv7/1%2B86dO6t///765JNPdN9999msW%2BLy5cultnOjCJYAAABSpXQs/f397drtXZbmzZsrMzNT6enpqlOnjiTp6NGjqlevnmrWrGmz7Pr16%2BXt7a3evXtbx/Ly8uTu7q7bbrtNdevW1ZEjR6y7w9PS0pSZmWmze9wInLwDAABQBTVp0kTt2rXT3LlzlZWVpaSkJC1dulSDBg0qtWxWVpZmzZqlAwcOqKioSDt37tTHH3%2Bs8PBwSdKAAQO0bNkyJSUlKSsrS3PnzlVISIgaN25saM10LAEAAKQqeYH0xYsXa%2BbMmerevbtcXFzUv39/jR8/XpJkNpv10ksvqW/fvho%2BfLhycnI0ceJEZWRkKCAgQPPnz1f79u0lSRMmTFBBQYGGDh2q7OxshYaG6p///Kfh9ZosFovF8K3COeTnO7oC%2B7i6Ok%2Btbm6OrqB8ZrMUHy8FB0sJCY4YNdAJAAAgAElEQVSu5vpychxdQflMJsnDQ7p8WXKCt9NLBZ7lL%2BRgLi6St7eUnS0VFTm6mvLVqOHoCuxjMjnFP1FJxbU6xN/%2BZvw2p083fptVWNWL5gAAAHBK7AoHAACQquSucGfDDAIAAMAQdCwBAAAkOpYGIFgCAABIBEsDMIMAAAAwBB1LAAAAiY6lAZhBAAAAGIKOJQAAgETH0gAESwAAAIlgaQBmEAAAAIYgWF5DbGysWrRo4ZCf/eGHH%2Brhhx%2B%2B5vPTpk3TtGnTbmJFAADcAlxcjH/cYtgVXgX17dtXffv2dXQZAADcWm7BIGg0ZlBSdHS0unbtqpCQEA0cOFDbt2%2B3Prdy5Ur17NlTQUFBioyMVFZWlvW59957Tw8//LCCg4PVp08fffjhh9bnhg0bpnnz5mnAgAEKCgrSgAEDtHfvXrvq2bhxo7p162b9fvv27Xr44YcVFBSksWPH6vz58wa8agAAAGPd8h3LPXv2KCYmRhs3bpSfn59iYmL0pz/9SQsXLpQknTlzRh9//LEyMzP16KOP6u2339bYsWO1ceNGzZs3T0uWLFFISIji4uI0ceJEeXp6qmfPnpKkmJgYLVu2TMHBwVq5cqXGjRunzz77TLVr17a7vmPHjikqKkpz587VQw89pJ07dyoyMrLCHc3U1FSlpaXZjPnVri1/P78KbQflMJsdXUH5Wra0/VqVmUyOrqB8JTU6Q61yjoZMSY3OUCt%2BY/hHd8Nu%2BWDp7u6uCxcuaN26dQoLC9Ojjz6q8PBwxcXFSZIiIiLk7u6uunXrqkOHDjp16pQkacOGDQoPD1enTp0kSZ06dVJ4eLjWrl1rDZYDBw5Ux44dJUnPPPOM3n33Xe3YsUMDBgywu74tW7aoTZs21iDZo0cPhYWFVfh1xsTEaMmSJTZjEydMUERkZIW35RCuro6uwD7x8Y6uwH7vvOPoCn5b3N0dXYFdvB1dQAV4ejq6gt8eZ/j8Y7E4ugLciFs%2BWJrNZkVHR2vNmjV644035OHhoWHDhik4OFiSbLqLrq6uKiwslCSlp6crICDAZluNGjXS559/bv2%2BSZMm1j%2BbTCbVq1evVNewPCkpKWrQoIHNWOPGjSu8Ozw8PNxm97pU3LFUfn6FtuMQrq7OUackhYY6uoLytWxZHCqHDJESEx1dzfV99ZWjKyifyVQcKq9ccYrfiNmFHo4uoVwuLsWhMjdXKipydDXl8/JydAX2MZmc4p%2BoY9GxvGG3fLBMTk6Wr6%2BvVq5cqby8PO3evVsTJ05UdHT0dddr1KiRtXtZIikpSX5X7VpOSUmx/rmoqEjJycmqX79%2BheqrV6%2Bedu7caTP2008/yb2C3RF/f3/5%2B/vbDjpLWHMmCQmOrsB%2BiYlVv15n%2Bi1osThFvc4Q1EoUFTlXvfgNIFjesFt%2BBvfv36/Ro0crMTFRbm5u8vX1lSQdOnTouusNGjRIMTEx2r17twoLC63Hag4cONC6zHvvvafvv/9eeXl5evXVV2WxWCq8G7tv3746dOiQ1q1bp4KCAv33v//Vf/7zn4q/UAAAgEp2y3cse/XqpRMnTmjcuHE6f/68fH19NWPGDN15553XXa93797KysrS7NmzlZycrLp16%2Br5559X//79rcuEhIRo5syZOnLkiFq1aqVVq1apZs2aFaovICBAr732mubNm6c5c%2BaodevW1mM4AQCAgehY3jCTxeIE%2B26c0LBhwxQSEqKIiAhHl3JtzrIr3JmOsXRzc3QF5TObi08yCg6u%2BrvCc3IcXUH5TCbJw0O6fNkpdoVfKqj6Z8S4uEje3lJ2tnPsCq9Rw9EV2MeZjrF02ElG//qX8dscOdL4bVZht3zHEgAAQBIdSwMQLG%2By7777TsOHD7/m8w0aNNDmzZtvYkUAAEASwdIABMtKsmbNmjLH77nnHiVU9d2PAAAAvwLBEgAAQKJjaQBmEAAAAIagYwkAACDRsTQAwRIAAEAiWBqAGQQAAIAh6FgCAABIdCwNwAwCAADAEHQsAQAAJDqWBiBYAgAASARLAzCDAAAAMAQdSwAAAImOpQGYQQAAABiCjiUAAIBEx9IABEsAAACJYGkAZhAAAACGoGMJAAAg0bE0ADMIAAAAQ9CxBAAAkOhYGoBgCQAAIBEsDUCwBAAAqKIyMjL0l7/8RXFxcapWrZr69u2rqVOnqnr10hHu3Xff1erVq5Wamip/f389%2BeSTGjp0qCSpqKhI7dq1k8Vikclksq7zv//9T15eXobVS7AEAACQqmTHctKkSapbt66%2B/PJLpaena9y4cVq9erVGjx5ts9y2bdv0j3/8QytWrNC9996rffv26emnn1adOnXUq1cvHTlyRPn5%2BYqPj5ebm1ul1Vv1ZhAAAAA6efKk4uLi9Nxzz8nT01MBAQEaP3683n777VLLpqSkaMyYMQoKCpLJZJLZbFZoaKi%2B/vprSdL%2B/fvVokWLSg2VEh1LAACAYpXQsUxNTVVaWprNmJ%2Bfn/z9/ctd9/Dhw/Lx8VHdunWtY82aNVNycrIuXryoWrVqWcdLdnmXyMjI0Ndff63p06dLKg6WV65c0cCBA3XmzBk1a9ZMU6ZMUXBw8I28vFIIlgAAAFKlBMuYmBgtWbLEZmzixImKiIgod93s7Gx5enrajJV8n5OTYxMsr5aWlqaxY8eqTZs2euSRRyRJHh4euueeexQVFaXbbrtNb7/9tkaNGqUPP/xQAQEBv%2BallYlgCQAAUEnCw8PVrVs3mzE/Pz%2B71vXy8lJubq7NWMn33t7eZa6zb98%2BRUVFqX379vrb3/5mPcln2rRpNsuNGjVKGzdu1K5du/TEE0/YVY89CJYAAABSpXQs/f397drtXZbmzZsrMzNT6enpqlOnjiTp6NGjqlevnmrWrFlq%2BfXr12v27NmKjIzUU089ZfPcK6%2B8ol69eqlVq1bWsby8PLm7u/%2Bq2q6Fk3cAAACqoCZNmqhdu3aaO3eusrKylJSUpKVLl2rQoEGllt26dav%2B%2Bte/Kjo6ulSolKRDhw5pzpw5SktLU15enpYsWaKsrCz17NnT0JoJlgAAAFJxx9Loxw1avHixCgoK1L17dw0ePFgPPPCAxo8fL0kym8368MMPJUlLlixRYWGhIiMjZTabrY8XXnhBkvS3v/1NjRs3Vr9%2B/RQaGqq4uDj961//ko%2BPzw3XeDWTxWKxGLpFOI/8fEdXYB9XV%2BeptZIv42AIs1mKj5eCg6WEBEdXc305OY6uoHwmk%2BThIV2%2BLDnB2%2BmlAs/yF3IwFxfJ21vKzpaKihxdTflq1HB0BfYxmZzin6ik4lodYvdu47fZqZPx26zC6FgCAADAEJy8AwAAIFXJO%2B84G4IlAACARLA0AMHyVuZM/4GcpVZnOSZQkr76quofcOXl5egKyldyzOp991X9Y1Ylfba%2Biv%2BdS/Lxkbp3l/bskTIzHV1N%2BQYMcHQFQNVBsAQAAJCcp4lRhTGDAAAAMAQdSwAAAImOpQEIlgAAABLB0gDMIAAAAAxBxxIAAECiY2kAZhAAAACGoGMJAAAg0bE0AMESAABAIlgagBkEAACAIehYAgAASHQsDcAMAgAAwBB0LAEAACQ6lgYgWAIAAEgESwMwgwAAADAEHUsAAACJjqUBmEEAAAAYgo4lAACARMfSAARLAAAAiWBpAGYQAAAAhqBjCQAAINGxNAAzCAAAAEPQsQQAAJDoWBqAYAkAACARLA3ADAIAAMAQdCwBAAAkOpYGYAYBAABgCDqWAAAAEh1LAxAsAQAAJIKlAZhBAAAAGIKOJQAAgETH0gDMIAAAAAxBxxIAAECiY2kAgiUAAIBEsDQAMwgAAABD0LEEAACQ6FgagBkEAACAIehYAgAASHQsDUCwvI7CwkIlJycrICDA0aUAAIDKRrC8YczgLyQnJ8tsNis5OVmTJ0/W%2B%2B%2B/79AayrJx40Z169btJlcFAAButoyMDI0fP17t27dXaGio5syZo4KCgjKX3bVrl/r06aOgoCD17t1bO3bssHl%2BxYoV6tKli4KCgjRs2DAdO3bM8HoJlr/QoEEDJSQkqEGDBjp//rzDawAAADeJi4vxjxs0adIkeXl56csvv9T69eu1e/durV69utRyJ06cUEREhKKiorR3715FRERo0qRJSklJkSRt2rRJa9as0cqVKxUbG6vWrVsrMjJSFovlhmu8GsHyF06fPq0WLVpoxIgR2rt3r5YvX65nnnlGknTq1Ck988wzCg0NVVhYmF555RXl5eVJKu4iDhkyRPPnz1dISIg6duyoNWvWaN26dQoLC1O7du30wgsvVKiG06dPS5KOHj2qYcOGyWw2q0%2BfPjpw4EDlvHgAAFBlnDx5UnFxcXruuefk6empgIAAjR8/Xm%2B//XapZTdt2qT27durR48eql69uh566CF16NBBMTExkqR169ZpyJAhat68udzd3TVlyhQlJycrNjbW0Jo5xvIaZs%2BerenTpyskJEQRERHKycnRiBEj9PDDD2vRokU6d%2B6cIiMjVVRUpClTpkiSvvnmG/3ud7/Tnj17tHbtWs2ePVu9e/fWli1bdOTIEYWHh6tPnz7q0KGD3XXk5%2Bdr7Nix6tKli9544w2dOnVKY8aMkUsFPwWlpqYqLS3NZszP11f%2Bfn4V2g7KYTI5uoLyldToDLWazY6uoHwtW9p%2BreJ8fBxdQflq1rT9Ctw0lXCMZZm/f/385O/vX%2B66hw8flo%2BPj%2BrWrWsda9asmZKTk3Xx4kXVqlXLOn7kyBEFBgbarH/XXXcpMTHR%2BvyYMWOsz7m6uqpJkyZKTExUx44df9VrKwvB0k47d%2B5UXl6enn32WZlMJtWvX19RUVGKjIy0BksvLy8NHz5cJpNJnTt3VmFhoUaNGiVPT0%2B1bdtW/v7%2BOnPmTIWCZUJCgs6ePavnn39e7u7uat68uUaOHKl///vfFao/JiZGS5YssRmbOGGCIiIjK7Qdh6lWzdEV2MdZ6pQkd3dHV1C%2B%2BHhHV2C/d95xdAV26e7oAiogJMTRFfz2OMPnSYP3zFbsZ8v4CSrz9%2B/EiYqIiCh33ezsbHl6etqMlXyfk5NjEyzLWtbDw0M5OTl2PW8UgqWdzpw5o3PnztmEQovFovz8fGVkZEiSfHx8ZPr5f21JR/Hqv3QXFxcVFRVV6OempKSodu3a8vDwsI41bty4wvWHh4eXOuHHz9dXKiys8LZuumrVnKNOScrPd3QF5TOZikPllSuOfQe3x333ObqC8rVsWRwqhwyRfu4MVGXbX676Yb1mzeJQGRcnXbrk6GrK5yznUppMVf%2B//G9Rmb9/7dxb6OXlpdzcXJuxku%2B9vb1txj09PXX58mWbscuXL1uXK%2B95oxAs7VSvXj01btxYn376qXUsKytLGRkZuv322yXJGiqNVL9%2BfZ07d07Z2dnWv/yffvqpwtvx9/cv3XZ3lrDmTJzpXdtiqfr1JiQ4ugL7JSY6Rb2ZmY6uwH6XLjlXvXB%2BFez92KXM3792at68uTIzM5Wenq46depIKj7vol69eqr5i2NFAgMD9cMPP9iMHTlyRG3atLFu6/DhwwoLC5NUfKjdiRMnSu0%2Bv1GcvHMdbm5uuvTzx%2BWwsDBlZ2frjTfeUF5eni5evKipU6dq8uTJlRIoS5jNZjVt2lSzZ89Wbm6uTp48qVWrVlXazwMA4FZVVGT840Y0adJE7dq109y5c5WVlaWkpCQtXbpUgwYNKrVs3759FRcXpy1btqigoEBbtmxRXFyc%2BvXrJ0kaOHCg3nrrLSUmJurKlStauHCh6tSpo/bt299Ykb9AsLyO/v37a8OGDRoyZIhq1Kih1atXKzY2Vl26dFGPHj3k4uKiZcuWVWoN1apV0%2Buvv67U1FTdd999Gj16tLp3d6ajpAAAwK%2B1ePFiFRQUqHv37ho8eLAeeOABjR8/XlJx8%2BnDDz%2BUVHxSz6uvvqrly5erQ4cOWrp0qaKjo9W0aVNJ0qBBgzRixAhNmDBBHTt21IEDB7R8%2BXK5uroaWq/JYvQFjOA8nGVXuDMdY/nz5aeqNJNJ8vCQLl%2Bu%2BrvCvbwcXUH5zObik4yCg51iV/iG9VX871zFZ6537y5t3%2B4cu8IHDHB0BfZxpmMsHXWS0ZUrxm/TGc6TNBIdSwAAABiCk3ccIDQ01Hph9bJs3ryZu%2B4AAHCTVcbJO7cagqUDGH2VewAAcOMIljeOXeEAAAAwBB1LAAAA0bE0Ah1LAAAAGIKOJQAAgOhYGoFgCQAAIIKlEdgVDgAAAEPQsQQAABAdSyPQsQQAAIAh6FgCAACIjqURCJYAAAAiWBqBXeEAAAAwBB1LAAAA0bE0Ah1LAAAAGIKOJQAAgOhYGoFgCQAAIIKlEdgVDgAAAEPQsQQAABAdSyPQsQQAAIAh6FgCAACIjqURCJYAAAAiWBqBXeEAAAAwBB1LAAAA0bE0Ah1LAAAAGIKOJQAAgOhYGoFgCQAAIIKlEdgVDgAAAEPQsQQAABAdSyPQsQQAAIAh6FgCAACIjqURCJYAAAAiWBqBXeEAAAAwBB1LAAAA0bE0AsHyVnbihKMrKJ%2BbmxQQICUnS3l5jq6mXJf8mzm6hHK5uEjekrILPar8m%2Bhn6y2OLqFcPj5Sd0nbX45XZqajqynfwEEmR5dQPrNZio9X9%2BeCpYQER1dTvqwsR1dQPhcXydNTpsu5zpGevL0dXQF%2BJYIlAACAnCNzV3UESwAAABEsjcDJOwAAADAEHUsAAADRsTQCwRIAAEAESyOwKxwAAACGoGMJAAAgOpZGIFgCAAA4qZycHM2aNUuff/65CgoK1L17d7344ovyvsa1QLdu3aqlS5cqKSlJPj4%2BGjBggMaPHy8Xl%2BKd2L1791ZycrL1e0lav369mjWz7zrNBEsAAAA5Z8dy1qxZOnv2rLZu3arCwkJNmjRJCxYs0Isvvlhq2e%2B//17PP/%2B8/vnPf6pr1646fvy4xowZIy8vLz311FPKysrS8ePHtX37djVs2PBX1cMxlgAAACoOlkY/KlNubq4%2B%2BugjRUZGysfHR76%2BvvrjH/%2BojRs3Kjc3t9TyZ86c0WOPPaawsDC5uLioWbNm6tmzp77%2B%2BmtJxcHTx8fnV4dKiY4lAABApUlNTVVaWprNmJ%2Bfn/z9/e1a//Lly0pJSSnzudzcXOXn5yswMNA61qxZM12%2BfFknTpzQ3XffbbN8r1691KtXL5tt79y5U3369JEk7d%2B/X56ennriiSd0%2BPBhNWzYUBEREQoLC7OrVolgCQAAIKlyOowxMTFasmSJzdjEiRMVERFh1/rffvutnnzyyTKfi4qKkiR5eXlZxzw9PSVJ2dnZ191uVlaWoqKi5OHhoREjRkiSTCaT2rZtq2effVYNGjTQp59%2BqoiICL311lsKCgqyq16CJQAAQCUJDw9Xt27dbMb8/PzsXj80NFQHDx4s87kDBw5o0aJFys3NtZ6sU7ILvEaNGtfc5rFjxxQZGSlfX1%2B9%2Beab1mVHjx5ts1zfvn318ccfa%2BvWrQRLAACAiqiMjqW/v7/du70rqmnTpnJ1ddWRI0d07733SpKOHj0qV1dXNWnSpMx1du3apWeffVaDBw/WlClTVL36/0fBlStXqlWrVurUqZN1LC8vT%2B7u7nbXxMk7AAAAcr6Tdzw9PdW7d28tWLBA586d07lz57RgwQI98sgj8vDwKLX8vn37NGHCBE2fPl1Tp061CZWSdPbsWb300ktKSkpSQUGB1q9fr4SEBP3hD3%2BwuyaCJQAAgJN68cUX1aRJE/Xp00e///3v1ahRI73wwgvW5x9%2B%2BGG99tprkqTXXntNBQUFmjNnjsxms/VRsgv8%2BeefV5cuXTRkyBC1b99ea9eu1euvv6477rjD7npMFovFYuxLhNM4etTRFZTPzU0KCJCSkqS8PEdXU65L/vZdQNaRXFwkb28pO7vqX7Pts88cXUH5fHyk7t2l7dulzExHV1O%2BgYNMji6hfGazFB8vBQdLCQmOrqZ8WVmOrqB8Li6Sp6eUm1v1/%2BNLxW9SDrB1q/HbvOok7FsCHUsAAAAYgpN3AAAA5BzN3KqOYAkAACCCpRHYFQ4AAABD0LEEAAAQHUsj0LEEAACAIehYAgAAiI6lEQiWAAAAIlgagV3hAAAAMAQdSwAAANGxNAIdSwAAABiCjiUAAIDoWBqBYAkAACCCpRHYFQ4AAABD0LEEAAAQHUsj0LEEAACAIehYAgAAiI6lEQiWAAAAIlgagV3hAAAAMAQdSwAAANGxNMJvrmNZWFiopKQkR5cBAABwy/lNBMvk5GSZzWYlJydr8uTJev/99x1dkl0efvhhffjhh44uAwAAqLhjafTjVvOb2BXeoEEDJSQkSJLOnz/v4Grst3nzZkeXAAAAfnYrBkGj/SY6lqdPn1aLFi00YsQI7d27V8uXL9czzzwjSTp16pSeeeYZhYaGKiwsTK%2B88ory8vIkSRs3btSQIUM0f/58hYSEqGPHjlqzZo3WrVunsLAwtWvXTi%2B88EKFalizZo3uv/9%2BtWvXTs8995yysrIkSdHR0Xrqqac0cOBAhYSE6Ouvv1a3bt20ceNGSVJOTo5mzpypTp06qX379hozZozOnDkjScrKytLMmTPVtWtXderUSZMnT1Z6errR0wgAAHBDfhMdyxKzZ8/W9OnTFRISooiICOXk5GjEiBF6%2BOGHtWjRIp07d06RkZEqKirSlClTJEnffPONfve732nPnj1au3atZs%2Berd69e2vLli06cuSIwsPD1adPH3Xo0MGuGj777DN99NFHKiws1IQJE/TSSy/p5ZdfliTt3r1bq1at0j333CN3d3eb9WbOnKmjR49q48aN8vX11Ysvvqhnn31WMTExmjFjhrKzs7Vx40Z5eHho3rx5mjhxot59912ZTCa76kpNTVVaWprNmN%2BVK/L387NrfYdxdbX9WsW5OMFHtZIanaFWHx9HV1C%2BmjVtv1Z5ZrOjKyhfy5a2X6s6Z/jPVPK7wmSq%2BvU6sG1Ix/LG/aaC5S/t3LlTeXl5evbZZ2UymVS/fn1FRUUpMjLSGiy9vLw0fPhwmUwmde7cWYWFhRo1apQ8PT3Vtm1b%2Bfv768yZM3YHy%2BnTp%2Bv222%2BXJEVGRmrcuHGaM2eOJCkgIECdOnUqtU5eXp42b96sZcuWqX79%2BtbtnDx5UhkZGdq6das%2B%2BeQT%2Bfr6SpJmzJih9u3b64cfflCbNm3sqismJkZLliyxGZs4YYIiIiPtWt/h6tVzdAV28XZ0ARXg6enoCsrXvbujK7BfSIijK7BTfLyjK7DfO%2B84uoLfHg8PR1dQvuxsR1eAG/CbDpZnzpzRuXPnbEKhxWJRfn6%2BMjIyJEk%2BPj7Wrp/Lz5/iatWqZV3excVFRRX4CHPHHXdY/1y/fn3l5eUpMzNTkuTv71/mOhcuXFBeXp4aNGhgHatVq5batm2r7777TpI0ePBgm3WqVaum06dP2x0sw8PD1a1bN5sxvytXpKp%2BBr2ra3Go/OknKT/f0dWUK/v2AEeXUC4Xl%2BJQmZtb9T%2Bd79nj6ArKV7NmcaiMi5MuXXJ0NeXr/lywo0soX8uWxaFyyBApMdHR1ZTvf/9zdAXlM5mKQ%2BXly5LF4uhqqqyq/p7oDH7TwbJevXpq3LixPv30U%2BtYVlaWMjIyrF1Fe3cl2yslJUV33nmnpOLjLj09PVW7du3r/ixfX1%2B5ubnp7Nmz1nUzMjK0YsUKjRw5UpL0ySefyO%2Bq3dZHjhxRQID9Icbf3790sD16VPr5eNMqLz/fKWp1pjclZzhj8efPZE7h0iUnqffnEx2dQmKic9Rb1f8jSf%2B/%2B9ticY56HYSpuXFV/ECLinNzc9Oln9sGYWFhys7O1htvvKG8vDxdvHhRU6dO1eTJkw0PlCUWLlyorKwspaSkaPHixerXr59cyzk%2B0MXFRf3791d0dLRSUlJ05coV/fOf/9S%2BfftUt25dPfjgg5ozZ47Onz%2Bv/Px8LVu2TIMGDdLFixcr5TUAAAD8Gr%2B5YNm/f39t2LBBQ4YMUY0aNbR69WrFxsaqS5cu6tGjh1xcXLRs2bJK%2B/mNGzfWI488or59%2B8psNmvGjBl2rTdt2jS1adNGjz76qB544AGdP39eixYtkiT9/e9/V61atdS/f3917NhRu3bt0htvvGHTwQQAADeG61jeOJPFwsEWRjh9%2BrS6d%2B%2Bu7du3q1GjRo4uxz5Hjzq6gvK5uUkBAcXHgjrBrvBL/s0cXUK5XFwkb%2B/i4%2BOr%2BpveZ585uoLy%2BfgUn2S0fbtz7AofOKhy9tYYymwuPskoONg5doX/fFm5Ks2ZDq6Wit%2BkHCA62vhtRkQYv82q7DfXsQQAAIBj/KZP3jFSaGio9cLqZXn99ddvYjUAAMBoztDMreoIlnaKjY0td5mDBw/ehEoAAACqJoIlAACA6FgagWAJAAAggqUROHkHAAAAhqBjCQAAIDqWRqBjCQAAAEPQsQQAABAdSyMQLAEAAESwNAK7wgEAAGAIgiUAAICKO5ZGPypbTk6Opk%2BfrtDQULVr107PP/%2B8srOzr7n8iy%2B%2BqDZt2shsNlsfMTEx1udXrFihLl26KCgoSMOGDdOxY8cqVA/BEgAAwEnNmjVLZ8%2Be1datW/XZZ5/p7NmzWrBgwTWX379/v2bNmqWEhATrIzw8XJK0adMmrVmzRitXrlRsbKxat26tyMhIWSwWu%2BshWAIAAMj5Opa5ubn66KOPFBkZKR8fH/n6%2BuqPf/yjNm7cqNzc3FLL5%2BXl6dChQ2rTpk2Z21u3bp2GDBmi5s2by93dXVOmTFFycrJdt7Uuwck7AAAAqpon71y%2BfFkpKSllPpebm6v8/HwFBgZax5o1a6bLly/rxIkTuvvuu22WT0xMVEFBgRYvXqxvvvlGNWvW1MCBAzV69Gi5uLjoyJEjGjNmjHV5V1dXNWnSRImJierYsaNd9RIsAQAAKklqaqrS0tJsxvz8/OTv72/X%2Bt9%2B%2B62efPLJMp%2BLioqSJHl5eVnHPD09JR2iIBYAACAASURBVKnM4ywvXbqkkJCQ/2vv3uNyvvs/gL%2BulIpCUV2FunGjbU4V5SxZc0hEuTMJw9BPTveOzIbJms1mqWG3Q7vThmnJHYYhbKZyaOYsNkpnXZhOOl2/P9xd965FXbVvvt/v1ev5ePTY%2Bn6/19XLl3j3/ny%2Bnw8CAwPx6aef4sqVK5g7dy4MDAwwc%2BZMFBYWal5fxcTEBEVFRTplBVhYEhEREQFomI7lzp07ERERoXUsODgY8%2BbN0%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%2BfbHT1M7XTyF2hNo5OQHnzgHOzkBKithpaldQIHaC2hkYAKamQHGx9L/xgcd/SYngnXeEf89Vq4R/Tyljx5KIiIgI8qi5pY5zLImIiIhIEOxYEhEREYEdSyGwsCQiIiICC0shcCiciIiIiATBjiURERER2LEUAjuWRERERCQIdiyJiIiIwI6lEFhYEhEREYGFpRA4FE5EREREgmDHkoiIiAjsWAqBHUsiIiIiEgQ7lkRERERgx1IILCyJiIiIwMJSCBwKJyIiIiJBKNRqtVrsECQSufzWKxSyyaqGQuwIOpHRLZUFOd1PRVGh2BFqZ2AAmJoCxcXyaCGZmYmdoHZOTsC5c4CzM5CSInaa2on0DTV7tvDv%2BcUXwr%2BnlLFjSURERESC4BxLIiIiIsijQS51LCyJiIiIwMJSCBwKJyIiIiJBsGNJREREBHYshcCOJREREREJgh1LIiIiIrBjKQQWlkRERERgYSkEDoUTERERkSDYsSQiIiICO5ZCYGFJREREBBaWQuBQOBEREREJgh1LIiIiIrBjKQR2LImIiIhIEOxYEhEREYEdSyGwsCQiIiICC0shcCiciIiIiATBjiURERER2LEUAjuWRERERCQIdiyJiIiIwI6lEFhYEhEREYGFpRA4FE5EREREgmDHkoiIiAjsWAqBHUsiIiIiEgQ7lkRERERgx1IILCyJiIiIwMJSCBwKJyIiIiJBsGNJREREBHl2LIuKirBy5UocPXoU5eXlGDZsGJYtW4bmzZtXu/a9995DfHy81rGSkhL0798fW7ZsQWVlJVxcXKBWq6FQKDTXnDx5Es2aNdMpDzuWRERERDK1cuVKZGVl4eDBgzh06BCysrKwZs2aJ177/vvvIyUlRfMRHh6OFi1a4O233wYA3LhxA2VlZUhOTta6TteiEmBhSURERATgccdS6I%2BGVFxcjPj4eMyfPx%2BtWrVC69at8frrryM2NhbFxcU1vlalUuH111/HO%2B%2B8g86dOwMALly4gK5du6Jp06b1zsShcCIiIiI0TCGYm5uLvLw8rWNWVlawtrbW6fUlJSXIycl54rni4mKUlZWhS5cummOdOnVCSUkJbt26heeee%2B6p77tmzRp069YNY8aM0Ry7cOECHj16BF9fX2RkZKBTp0547bXX4OzsrFNWgIUlERERUYPZuXMnIiIitI4FBwdj3rx5Or3%2B/PnzmDJlyhPPLViwAAC0hqpNTU0BAIWFhU99z/T0dPznP//Brl27tI6bmJigR48eWLBgAVq2bImvvvoKM2bMwH/%2B8x%2B0b99ep7wsLImIiIjQMB1Lf39/eHh4aB2zsrLS%2BfVubm64du3aE89dvnwZYWFhKC4u1jysUzUEbmZm9tT3/Pbbb%2BHk5FSto1k117LKjBkzEBsbi%2BPHj2Py5Mk65WVhSURERNRArK2tdR72rqsOHTrAyMgIN27cQM%2BePQEAN2/ehJGREf72t7899XWHDh3C9OnTqx1fu3Ythg8fjueff15zrLS0FMbGxjpn4sM7RERERJDfwzumpqYYOXIk1qxZA5VKBZVKhTVr1mD06NEwMTF54mvu3buHmzdvok%2BfPtXOXb9%2BHatWrUJeXh5KS0sRERGBgoICeHp66pyJhSURERER5FdYAsCyZcvwt7/9Dd7e3hgxYgTatWuH9957T3Pey8sLGzdu1Hx%2B584dAICNjU219woNDYW9vT3Gjh0LNzc3JCcnIzIyEq1atdI5j0KtVqv/wq%2BH5Ewuv/UKhWyyqqGo/SIJkNEtlQU53U9F0dMn9EuGgQFgagoUF8tjxeoa5rJJhpMTcO4c4OwMpKSInaZ2In1DDRgg/HuePCn8e0qZJDqWFRUVSE9PFztGnd26dUvsCERERCQQOXYspUa0wjIzMxNOTk7IzMzEokWLEBcXJ1aUerl8%2BTJGjx5d79cnJSWha9euAiYiIiIiEpdoT4Xb2dkh5b/t%2BHv37okVo94ePnyIsrIysWMQERGRQBpjh1FoonUs79y5g65du2LatGk4c%2BYMvvjiC8yZMwcAkJaWhjlz5sDNzQ1Dhw7F2rVrUVpaCgCIjY3FpEmTsHr1ari6uqJv377Ytm0bvvnmGwwdOhQuLi5ak1Zrc%2BnSJQQGBsLJyQkDBw5EWFgY1Go1kpKS4OHhgQ0bNmDQoEFwdXXFvHnzUFBQgPT0dLz66qsAACcnJ02BXJPc3FzMmTMHzs7OGDZsGE7%2BadLF0aNHMXHiRPTr1w89e/bE5MmTNUPtI0eO1Jp4CwDe3t6IiYnR%2BddJRERENeNQ%2BF8n%2BjqWISEhWLx4saZwKyoqwrRp0%2BDl5YWwsDCoVCrMnz8flZWVeO211wAAZ8%2BexUsvvYTExETs2LEDISEhGDlyJPbv348bN27A398f3t7eT3yU/o/u37%2BP6dOnIzAwEFu2bEF2djYCAwNhY2ODDh06ICMjAzk5Ofj%2B%2B%2B%2BRk5ODgIAAfP3115g1axY2bdqEKVOm6FRUAsCiRYtgYWGBEydO4OHDhwgKCtKcy87OxoIFCxAWFgYPDw/cu3cPwcHB%2BPzzz/Hxxx9j/PjxiI2N1RTeFy9exJ07dzBy5Eid7/MTt5Rq06bB1tYiIokykMTU%2BpopFP/7rxzyOjmJnaB2jo7a/5UyOTxcRE8lemH5Z8eOHUNpaSn%2B%2Bc9/QqFQwNbWFgsWLMD8%2BfM1hWWzZs0wdepUKBQKDBw4EBUVFZgxYwZMTU3RvXt3WFtbIyMjo9bCMiEhAcbGxpg7dy4UCgXs7e0RGRmJZs2a4fbt2wCAuXPnwsTEBA4ODnBzc8Nvv/1W519TRkYGzpw5g4MHD8LMzAxmZmYIDg7G3LlzAQCWlpbYt28f7O3tUVBQgOzsbFhYWGj2BvXx8cFnn32GCxcuoHv37oiLi8OIESM0q%2Bzr4olbSs2di3nz59f51yMKhUyethY7QB3I5JbKhmzu53%2B3e5OFp6zDJznnzomdQHdffy12gtqJ%2BM3UGDuMQpNcYZmRkQGVSqVVFKrVapSVlSE/Px8A0KpVKyj%2B%2BwfP4L8/zbZo0UJzvYGBASp1%2BNORl5cHW1tbzXsBQMeOHQFAU1j%2BcdslIyMj1Gd1pqoC0c7OTnPM3t5e63337t2LHTt2QKFQoEuXLigoKIChoaEmw6BBg7Bnzx44Ojpi7969CA8Pr1OGJ24p1aaNPNZIkdFaLlxuqHGS0/1UlBSLHaF2CsXjorKkRB43tiHWqBGao%2BPjonLSJODqVbHTkB6TXGGpVCphb2%2BPAwcOaI4VFBQgPz8flpaWAKBVCP7Vr5WVlQW1Wq15z8OHD6OgoAC2traCfI2qrwM83vS9U6dOAB4Pf1f57rvvEB0dje3bt8PBwQEAsHLlSly/fl1zja%2BvL1asWIEBAwbA3Ny81m7snz1xSyk5/IVNRMKSQ0umavhbrZZHXjkN3V69Kq%2B8z5gc/rhJnSQmrzRt2hQPHz4EAAwdOhSFhYXYvHkzSktL8fvvv%2BOtt97CokWLBCsoq7i7u6O8vBwbN25EaWkp0tLS8MEHH%2BDRo0e1vrZq38yq3DWxs7PDwIEDERoaigcPHiAvL09rWPrhw4cwMDCAiYkJ1Go1Tpw4gbi4OK2nzt3d3VFRUYF169Zh/Pjx9fjVEhERUU348M5fJ4nC0sfHB99%2B%2By0mTZoEMzMzfPnll0hKSsLgwYPx4osvwsDAABs2bBD867Zo0QJbtmzBqVOnMHDgQAQGBmLixInw9/ev9bVdunSBi4sLBg0ahOPHj9d6/SeffAJzc3MMHToUvr6%2B6N%2B/v%2BbcuHHj0L9/f3h5eaFv377YsGEDpk6dit9%2B%2B03zNLyRkRHGjBmDq1evYty4cfX/RRMRERE1EG7pKCNRUVE4ceIENm/eLMwbyuW3XkYT2DjHsnGS0/3klo4NgFs6Ck%2Bkb6ju3YV/zwsXhH9PKZNEx5JqlpeXh19%2B%2BQX//ve/8fLLL4sdh4iIiOiJJPfwjpDc3Nw0Q8lPsm/fPq0ntetr7ty5%2BOmnn556fsWKFRgzZky93//YsWMICQnB2LFjMWzYsHq/DxERET2dHBrkUseh8MZMLr/1Mhpn5FB44ySn%2B8mh8AbAoXDhifQN9dxzwr/nlSvCv6eUcSiciIiIiASh10PhRERERLqSQ4Nc6lhYEhEREYGFpRA4FE5EREREgmDHkoiIiAjsWAqBHUsiIiIiEgQ7lkRERERgx1IILCyJiIiIwMJSCBwKJyIiIiJBsGNJREREBHYshcCOJREREREJgh1LIiIiIrBjKQQWlkRERERgYSkEDoUTERERkSDYsSQiIiICO5ZCYMeSiIiIiATBjiURERER2LEUAgtLIiIiIrCwFAKHwomIiIhIEOxYEhEREYEdSyGwY0lEREREgmDHkoiIiAjsWAqBhSURERERWFgKgUPhRERERCQIdiyJiIiIwI6lENixJCIiIiJBsGNJREREBHYshcDCkoiIiAgsLIXAoXAiIiIiEgQLSyIiIiI87lgK/fGsFBcXw9/fH7GxsTVed/78eUyYMAFOTk7w8PDArl27tM7v3r0bnp6e6NWrF8aPH4%2BUlJQ65WBhSURERCRjqampCAgIwM8//1zjdQ8ePMCsWbPg4%2BOD06dPY9WqVQgNDcUvv/wCAEhKSsLKlSvx4Ycf4vTp0xgzZgyCgoJQXFyscxYWlkRERESQZ8fy1KlTmDp1KsaNGwc7O7sarz106BBatWqFgIAAGBoaol%2B/fvD29sZXX30FANi1axe8vLzg4uICIyMjTJs2DRYWFti/f7/OefjwDhEREREaphDMzc1FXl6e1jErKytYW1vr9PqSkhLk5OQ88ZyVlRUcHR2RkJAAY2NjREZG1vheqamp6NKli9axv//974iJiQEA3LhxA76%2BvtXOX716VaesAAvLxk2hEDtBrXJzc7Fz5074%2B/vr/E0oJunfUfndU6mT3f1s3lzsBLXKzc3Fzs2b5XNP1WqxE9QqNzcXO8PD4X/ggDzuqUga4rcyPHwnIiIitI4FBwdj3rx5Or3%2B/PnzmDJlyhPPff7553jxxRd1zlJYWAhTU1OtYyYmJigqKtLpvC5YWJKk5eXlISIiAh4eHvzLUCC8p8Li/RQe76nweE/F4%2B/vDw8PD61jVlZWOr/ezc0N165dEySLqakpHj58qHWspKQEzf/7A6epqSlKSkqqnbewsND5a7CwJCIiImog1tbWkinmu3TpgpMnT2odu3HjBjp37gwA6Ny5M1JTU6udHzx4sM5fgw/vEBERETUCnp6euHv3Lr788kuUlZUhMTER8fHxmnmVfn5%2BiI%2BPR2JiIsrKyvDll18iPz8fnp6eOn8NFpZEREREesrLywsbN24EAFhYWGDr1q04cOAA3NzcsHTpUixduhR9%2B/YFAPTr1w/Lli3D8uXL4erqin379mHTpk1o1aqVzl9PoVbLYNYxNVqyezBCBnhPhcX7KTzeU%2BHxntKzwsKSiIiIiATBoXAiIiIiEgQLSyIiIiISBAtLIiIiIhIEC0siIiIiEgQLSyIiIiISBAtLIiIiIhIEC0siIiIiEgQLSyIiIiISBAtLIiIiIhIEC0siIiIiEgQLS5Kk8vJyZGdnIzMzU%2BuDiPTb5cuXcejQIZSWliI/P1/sOLIWGxuL4uJisWNQI8O9wklyYmJisHLlSpSWlmqOqdVqKBQKXLlyRcRk8rJ48eJarwkNDX0GSfSHh4cHFApFjdccOXLkGaXRL/n5%2BZg7dy4uXrwIIyMjxMTEwM/PD1u3boWTk5PY8WTJ29sbGRkZGDFiBHx9feHi4iJ2JGoEDMUOQPRnn332GV5//XW4u7vDwIBN9b/q3r17%2BOGHHzB06FC0b98eOTk5%2BP777/HSSy%2BJHU125s2bBwC4dOkSjhw5gldeeQX29vbIyspCZGQkhg0bJnJC%2Bfrggw/QpUsXREZGYvDgwejUqRNmzZqFjz76CNu3bxc7nizFx8fj4sWLiIuLQ3BwMFq0aIHx48fDx8cHNjY2YscjPcWOJUmOq6srEhMTWVQKZM6cOZgwYYJW0fPjjz9i48aNiI6OFjGZfI0ZMwZr165Fp06dNMdu376NWbNm4eDBgyImk68BAwbg8OHDMDU1haurK5KTk1FWVob%2B/fvj9OnTYseTvfLycvz4449Yt24drl27hgEDBmDSpElwd3cXOxrpGf7LTZIzZswYdigElJSUhKFDh2od69evHy5duiRSIvlLT0%2BHvb291jEbGxvk5uaKlEj%2BjIyMUFJSAuDx1BcAKCwsRPPmzcWMpRcuXbqEjz76CEuXLkV2djYCAwMxaNAghISEYPny5WLHIz3DoXCSnBdffBEzZsxAWFgYzM3Ntc5x/lrdtW3bFt999x28vLw0x2JjY%2BHg4CBiKnnr1q0bVq9ejTfffBNNmzZFcXExQkJCOIftL/Dw8MAbb7yBpUuXQqFQID8/HyEhIRgyZIjY0WTrX//6F/bs2YPbt29j4MCBWL58Odzd3WFo%2BPif/p49e2Lq1KksLklQHAonyRk%2BfDi6deuGfv36oUmTJlrnxo0bJ1Iq%2BTpy5AgWLFiAHj16wNbWFnfu3MH169exceNGuLm5iR1Pln799VfMnj0bWVlZsLCwwL1799ChQwf861//gq2trdjxZKmwsBCLFy/GoUOHAAAKhQJDhgzBxx9/XO0HTNLNqFGjNHMq27RpU%2B383bt3kZCQgAkTJoiQjvQVC0uSHCcnJ6SkpIgdQ6/8%2Buuv2L9/P3Jzc6FUKuHt7Y327duLHUvWysvLce7cOc09dXZ25rxgAahUKty5cwc2NjZ8wKSBlJeXa7qWREJjYUmSM2fOHMyePZtLjJDkZGdnQ6lU1rimqp2d3TNMpD8yMzPxz3/%2BE%2B%2B%2B%2By5eeOEFrF69Gj///DPWrVsHKysrsePJUlpaGj7//HPk5OSgsrISAFBWVobffvsNiYmJIqcjfcXCkiRn5cqViI2NhZubGywsLLTOcd1F3Xl7eyM%2BPr7GtRc5Z7VunJ2dce7cOTg6Ola7p1xr9a%2BZPXs2WrdujSVLlsDMzAwqlQpr167FgwcPsG7dOrHjyVJgYCDUajUsLCyQn5%2BP559/HnFxcZg2bRqCg4PFjkd6ir1wkpyioiKMGDFC7BiyN2vWLAD/W3uR/rp9%2B/YB0K0gr%2Bpukm5SUlJw8uRJGBkZAQAsLS2xdOlSDB48WORk8nXx4kUcO3YMmZmZ%2BOyzzzT384svvmBhSQ2GhSVJDruSwvD29gag2wNPVd1NqlnVgzlt27at9dpRo0bh3LlzDR1JbxgaGkKlUmnNq3zw4AFMTExETCVvpqamaNmyJQwNDXH9%2BnUAwODBg/HWW2%2BJnIz0GQtLkpyIiIinnuNP2Q3jzp07YkfQO5xlVDcjRozA/PnzsXDhQtja2iIrKwvr1q3D8OHDxY4mW/b29jh%2B/DiGDBmCyspKpKeno2nTpigvLxc7GukxFpYkOUlJSVqf379/Hzdv3uTweAOqbf9rqjve07p54403sGLFCsyePRulpaVo2rQpfHx8sHDhQrGjydasWbMwf/587N27F/7%2B/pg4cSKaNGnCrUepQfHhHZKFPXv2ICkpCR988IHYUfRS1UMpJBze0/opKyvDgwcP0Lp1axbnAsjJyYGlpSWMjIywf/9%2BFBQUwMfHB02bNhU7GukpdixJFsaOHcuikkgP7d27F6NHj0ZcXNxTr/Hx8XmGifTLH%2Besjho1SsQk1FiwsCRZSE5ORrNmzcSOQUQC27hxI0aPHv3UJYUUCgULyzp60nJYf8ZlsaihsLAkyfnzuotlZWW4e/cugoKCRExFRA1h7969AICPPvoITk5O1bZxpbqLiooCAJw8eRInTpxAcHAw7O3tkZWVhc8//xwDBgwQOSHpM86xJMnZvXu31ucGBgbo1KkTunXrJlIi/cdtNIXXt29f7m5SB25ubjh27BhMTU3FjqI3PD09ER0drTUcnpeXhwkTJuDYsWPiBSO9xo4lSY4u6y5S3Tx48AAJCQnIzc2FnZ0d3N3dYWZmpjlf1eEg3Z05cwYZGRnVlhWqGrZlUVk37du3x4ULF%2BDq6ip2FL2hUqnQokULrWPGxsZ4%2BPChSImoMWDHkiQnJycHGzZswK1btzT721ZhAVR3Z8%2BeRVBQEExNTTX7XKvVakRGRqJz585ix5OlZcuWISYmBtbW1lrTNhQKBbfJrKcZM2YgMTER7dq1q3Zf%2BX1fP3PmzEHTpk3xxhtvQKlUIj09HR9%2B%2BCHMzMzw6aefih2P9BQLS5Kc6dOn4%2B7duxg6dKhme7cqXCC97nx9feHp6Yk5c%2BYAeLxwd0REBJKTk7Ft2zaR08lTnz59EBkZyekZAuLGCMLLy8vDwoULcfbsWU2hPmDAAHz66afVOplEQmFhSZLTp08fHDx4EJaWlmJH0QtOTk44ffo0DA3/N/OlrKwMffv2xdmzZ0VMJl8eHh44cOAA1wJsAFXrWFpYWPBBHoFkZmYiJycHSqVSsy1plarlnoiEYiB2AKI/Mzc35z/YAurQoUO1B3NSU1Px97//XaRE8hcUFIR33nkHV69eRWZmptYH1U9hYSHeeust9O7dG4MGDULv3r3x/vvvo7S0VOxosmdnZwcnJ6dqRSUAvPfeeyIkIn3GjiVJTkxMDI4fP45XX30Vbdq00TpnZ2cnUir5Wr16Nb755hv4%2BvrCwcEBubm52LVrF1xdXbWKSw436i46OhqhoaFac4DVajUUCgXXB6ynN998E7dv38b8%2BfNha2uL9PR0hIeHw9nZGUuWLBE7nt7iihAkNBaWJDmOjo6a/6%2BaF8R/tOsvMDCw1msUCgUfkKiD/v37Y968eRg4cCAMDLQHftq2bStSKnnr06cPDhw4gNatW2uO5eTkYOzYsXzCvgFx61ESGpcbIsnR5ana7OxsKJXKZ5BG/viAjvAqKirw8ssvix1DrxgbG1ebU9m8eXOua0kkM%2BxYkizxp%2By6OXz4MHbu3ImMjAxYWVnBz88P3t7eYseSrdWrV8PW1hZTpkwRO4reiI6OxqFDh7BkyRI4ODggJycHn3zyCezt7REQEKC5jtNhhMW/S0loLCxJljgvSHfx8fFYsWIF/P390a5dO6SlpeGbb77B22%2B/jQkTJogdT5YCAgJw9uxZNG/eHC1bttRac5HrWNbPn6fA/PGfpqrPOR1GeCwsSWgcCidZ%2BuM/5FSzTZs2ISIiAn379tUcGzJkCN5//30WlvXk5%2BcHPz8/sWPoFV0K8qysrGeQpHFhb4mExsKSSM9lZmbCzc1N65irqyuys7NFSiR/f9x2VKVScc1VAejy0JO3tze7a3Vw/vx59OzZs9rxEydOYPDgwQAeL5hOJCSuY0mk55RKJU6fPq117PTp05yr9heUl5dj7dq1cHFxgYeHB9LT0%2BHr64u8vDyxo%2Bk1dtfq5pVXXql2rKCgAAsWLNB8XtOOR0T1wY4lkZ6bOnUq5s6dC39/f7Rv3x5paWnYuXMnFi9eLHY02QoPD0diYiLCwsKwaNEitG7dGkqlEiEhIQgLCxM7nt7iFJja3b59G15eXqioqIBarcZzzz1X7RpnZ2cRklFjwcKSSM9NmDABTZo0QWxsLA4fPoy2bdsiJCQEI0aMEDuabMXHx2P79u2wsbGBQqFAs2bNEBoaCk9PT7GjUSPn4OCAXbt24ffff8esWbOwadMmrfPGxsbo0qWLSOmoMWBhSbJRUlICExMTAOCWj3U0fvx4jB8/XuwYeqOoqEgzr7JqeNbExKTaYulEYqjqUu7duxft27cXOQ01NiwsSXKioqKqrQ/4888/46233sLBgwcBgDtx1EFhYSG%2B%2BuorpKeno7y8XOtcaGioSKnkrVevXoiIiMCiRYs0w7Pbtm1D9%2B7dRU5G9D%2BWlpbYtGkTbt26pbX9KMDvfWo4LCxJcjZs2AAzMzOMHz8e5eXlCA8Px5YtW/CPf/xD7GiytHjxYpw/fx69e/dmp1cgS5YswbRp07B7924UFhZi1KhRKCwsRGRkpNjRiDQWL16MlJQUuLm5wcjISOw41EiwsCTJ2bJlC2bMmIF79%2B5h7969%2BP3337F582atdRhJdz/88AMOHjwIa2trsaPoDXt7e%2Bzbtw8JCQnIzMyEUqmEu7s7zMzMxI6m1/iDUd0kJSUhJiaGw%2BH0TLGwJMl5XDvE6QAADaxJREFU/vnnsXnzZrzyyit44YUX8PXXX3O/4L/AysoKFhYWYsfQK0FBQdiwYQNGjRqldXzy5MmIjo4WKZX8nTlzBhkZGdWWFfLx8QHAKTB1ZWxsDBsbG7FjUCPDLR1JMv68ntrFixeRmJiIadOmwdDw8c9AwcHBYkSTta1btyIzMxPz589HixYtxI4jW3fu3EFcXBwA4IsvvsDs2bO1zhcUFODbb7%2BttmYo6WbZsmWIiYmBtbW11rJCCoWC22TW08aNG5Gbm4vg4GAu4k/PDAtLkozAwMAazysUCkRFRT2jNPLn6Oiotefyk9YA5L7LuqusrMSiRYugUqlw9uxZuLi4aJ03NjaGj48PRo8eLVJCeevTpw8iIyPRrVs3saPoDQ8PD2RmZmp973PPdWpoLCxJktRqNSorK9GkSRPk5eXB0tISTZo0ETuWrCQnJ2v%2Bv7y8HIaGhqisrMSjR49w/fp19OzZE66uriImlJ/s7GwolUpMnz4dISEhT7yGOxrVj4eHBw4cOMB5lAL6498Bf8bvfWooLCxJcq5evYqgoCCEhYWhR48eCA0NxeHDh7F582Z06NBB7Hiyc/ToUSxduhQ//fQT1q9fj40bN0KhUOCdd97hk/Z15OzsjHPnzmm6wX/ETtBfs2vXLiQnJ2PGjBnVpmywWK%2B/b775BkOGDIGNjQ327NmD0tJSTJgwQexYpMf48A5JzqpVqzBu3Dg8//zzAIA33ngD5ubmWLlyJbZu3SpyOvnZsGEDFi5ciMrKSkRHRyM8PBytW7fGokWLWFjW0b59%2BwCAc/4awKNHj7B//37s3btXc4zF%2Bl%2Bzbt067N69W9OdNDMzwwcffIAHDx5g5syZIqcjfcWOJUlO7969cfr0aa2OUEVFBfr27csHI%2BrBzc0NSUlJuHz5MgICAnD69GkYGhrCyckJKSkpYscjAgD0798f8%2BbNw8CBA6vtYNS2bVuRUsnb4MGD8dVXX2ktN5SWloapU6ciISFBxGSkz9ixJMkxMzPDb7/9ho4dO2qOpaen84nmejI1NUV%2Bfj6OHj0KFxcXGBoa4urVq1yCiCSloqICL7/8stgx9EpBQQFsbW21jtna2qKoqEikRNQYNFm%2BfPlysUMQ/dGDBw/w2WefwcTEBPfv30dSUhJWrlwJHx8fTjivh4cPH%2BLdd9/FqVOn8Pbbb6OgoADTp09HYGBgtSebicSiUqnw66%2B/omfPnmJH0Rs//vgjcnNz0adPH82xzZs3o7i4GOPGjRMxGekzDoWT5FRUVGD9%2BvWIi4tDXl4ebG1tMX78eMycOZNPhtdTUlISjI2N0atXL2RlZeHChQt46aWXxI5FpBEQEICzZ8%2BiefPmaNmypdZUGM5prZ9Lly5h%2BvTpMDU1hVKpRHZ2NsrLy7F582Y4OjqKHY/0FAtLIiIS3e7du596jt21%2Bnvw4AESEhKQm5sLW1tbuLu7w9zcXHO%2BagktIqGwsCTJUavViIqKws6dO5GRkQErKyv4%2Bflh9uzZT1zkm4j0i0ql4k4xz0jVElpEQjGo/RKiZysqKgqRkZGYPHkywsPDMW3aNOzYsQObNm0SOxoRNZDy8nKsXbsWLi4u8PDwQHp6Onx9fZGXlyd2NL3G3hIJjYUlSc6OHTuwfv16TJo0CYMHD8bkyZOxfv167Ny5U%2BxoRNRAwsPDkZiYiLCwMBgZGaF169ZQKpVP3eGIhMFRIBIalxsiycnNza02sdzR0RH3798XKRERNbT4%2BHhs374dNjY2UCgUaNasGUJDQ%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%2BfzsXQBWZubo4uXbqIHYMaGc6xJMlZs2YNDh06hJkzZ8LW1hZpaWnYunUr/P39MWvWLLHjEZGAqp5KdnR0rDbHWq1WQ6FQ4MqVKyKlk7ddu3YhOTkZM2bMQIsWLbTO2dnZiZSK9B0LS5Icd3d3bNu2De3bt9ccu3nzJl599VUcPXpUxGREJLSsrCzY2toiIyPjqde0bdv2GSbSH9HR0QgNDUVlZaXmGIt1amgcCidJsrKy0vrczs4OBQUFIqUhooZia2sLgMVjQ1i/fj2WLl2KgQMHcgcjembYsSTJ2bRpE1JTU/Hee%2B/BzMwMJSUl%2BPDDD9GyZUssWrRI7HhERLLg5uZW7YEooobGwpIko2qOVdUfSQMDA5ibm6OwsBDl5eWwsLDAqVOnRE5JRCQPq1evhq2tLaZMmSJ2FGpEWFiSZCQnJ9d6jaur6zNIQkQkfwEBATh79iyaN2%2BOli1baj0cdeTIERGTkT5jYUmyxP1tiYhqtnv37qeeGzdu3DNMQo0JH94hWeLPQ0RENftj8ahSqWBpaSliGmos%2BJgYyVJte4oTETV25eXlWLt2LVxcXODh4YH09HT4%2BvoiLy9P7Gikx1hYEhER6aHw8HAkJiYiLCwMRkZGaN26NZRKJXc4ogbFoXAiIiI9FB8fj%2B3bt8PGxgYKhQLNmjVDaGgoPD09xY5GeowdSyIiIj1UVFSkmVdZNS/dxMSEi6VTg%2BKfLiIiIj3Uq1cvREREAPjfvPRt27ahe/fuYsYiPcflhkiWnJyckJKSInYMIiLJSktLw7Rp01BeXo78/Hw4ODigsLAQkZGR6Nixo9jxSE%2BxsCRJKi0txfHjx5GRkQF/f3/cvn0bjo6OmvNcOoOIqHbFxcVISEhAZmYmlEol3N3dYWZmJnYs0mMsLEly0tLSMH36dJSVleH3339HbGwsRo8ejYiICAwdOlTseEREshAUFIQNGzZUOz558mRER0eLkIgaAz4VTpKzatUqjB8/HkFBQXB1dUWHDh0QEhKCdevWsbAkIqrBnTt3EBcXBwD48ccfNXMsqxQUFODatWtiRKNGgoUlSc7PP/%2BM8PBwKBQKzYTzsWPHYtWqVSInIyKSNjs7O6SmpkKlUqGiogJJSUla542NjbFs2TKR0lFjwMKSJMfc3Bx3796FnZ2d5lheXh5atmwpYioiIukzMDDA4sWLoVQqMX36dC6GTs8cC0uSHG9vbwQHB%2BO1115DZWUlfvnlF3z88cfw8vISOxoRkeSNGjUK586dw08//YRhw4ZpnVOr1VAoFLhy5YpI6Ujf8eEdkpyysjJ8%2Bumn2LFjB4qLi2FiYgI/Pz%2B8%2BeabaNq0qdjxiIgkLSsrC7a2tsjIyHjqNW3btn2GiagxYWFJkpOXlwcrKysAj5cVsrCwgEKhQGpqKjp37ixyOiIiInoa7rxDkjN8%2BHDN/1taWkKhUKCiogL%2B/v4ipiIiIqLacI4lScLt27cxY8YMqNVqFBcXV5sXVFJSwqEbIiIiieNQOElGQkIC7t27h%2BXLl2PFihVa54yNjdGnTx/NEDkRERFJDwtLkpzk5GS4urqKHYOIiIjqiIUlSU5paSni4%2BORk5ODyspKAI%2BfFL9%2B/foTtycjIiIiaeAcS5KcJUuW4IcffoCFhQXKysrQrFkzpKamwsfHR%2BxoREREVAMWliQ5P/zwA7Zv3w6VSoXt27fjk08%2BwdatW/HLL7%2BIHY2IiIhqwOWGSHIqKyvRsWNHdOzYUbM7REBAAM6cOSNyMiIiIqoJC0uSHKVSifT0dFhaWiI/Px9FRUVQq9UoLCwUOxoRERHVgEPhJDne3t6YNGkSYmJi4O7ujqCgIBgbG6Nbt25iRyMiIqIa8KlwkqTvvvsOQ4YMQWVlJdasWYOCggIsXLgQ7dq1EzsaERERPQULS5KMwMBAKBSKGq%2BJiop6RmmIiIiorjjHkiTDzc0Nrq6usLOzw%2BXLl/Hcc89h%2BPDh6NmzJ65du4YOHTqIHZGIiIhqwI4lSc6kSZPw%2Buuvw9nZWXPs4sWLePfdd7F7924RkxEREVFN2LEkybly5Qp69uypdaxr1664deuWOIGIiIhIJywsSXI6deqEL7/8UuvYxo0b4ejoKE4gIiIi0gmHwklyzp07hzlz5qBZs2ZQKpXIzMxEZWUltmzZgq5du4odj4iIiJ6ChSVJ0v3793Hs2DHk5ORAqVTCw8MD5ubmYsciIiKiGrCwJCIiIiJBcI4lEREREQmChSURERERCYKFJREREREJgoUlEREREQmChSURERERCYKFJREREREJgoUlEREREQmChSURERERCeL/ATm8wa9u/L/gAAAAAElFTkSuQmCC\" class=\"center-img\">\n",
       "</div>\n",
       "    <div class=\"row headerrow highlight\">\n",
       "        <h1>Sample</h1>\n",
       "    </div>\n",
       "    <div class=\"row variablerow\">\n",
       "    <div class=\"col-md-12\" style=\"overflow:scroll; width: 100%%; overflow-y: hidden;\">\n",
       "        <table border=\"1\" class=\"dataframe sample\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>date_block_num</th>\n",
       "      <th>shop_id</th>\n",
       "      <th>item_id</th>\n",
       "      <th>item_price</th>\n",
       "      <th>item_cnt_day</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>02.01.2013</td>\n",
       "      <td>0</td>\n",
       "      <td>59</td>\n",
       "      <td>22154</td>\n",
       "      <td>999.00</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>03.01.2013</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>2552</td>\n",
       "      <td>899.00</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>05.01.2013</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>2552</td>\n",
       "      <td>899.00</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>06.01.2013</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>2554</td>\n",
       "      <td>1709.05</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>15.01.2013</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>2555</td>\n",
       "      <td>1099.00</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "    </div>\n",
       "</div>\n",
       "</div>"
      ],
      "text/plain": [
       "<pandas_profiling.ProfileReport at 0x270857fee10>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ppf.ProfileReport(train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<meta charset=\"UTF-8\">\n",
       "\n",
       "<style>\n",
       "\n",
       "        .variablerow {\n",
       "            border: 1px solid #e1e1e8;\n",
       "            border-top: hidden;\n",
       "            padding-top: 2em;\n",
       "            padding-bottom: 2em;\n",
       "            padding-left: 1em;\n",
       "            padding-right: 1em;\n",
       "        }\n",
       "\n",
       "        .headerrow {\n",
       "            border: 1px solid #e1e1e8;\n",
       "            background-color: #f5f5f5;\n",
       "            padding: 2em;\n",
       "        }\n",
       "        .namecol {\n",
       "            margin-top: -1em;\n",
       "            overflow-x: auto;\n",
       "        }\n",
       "\n",
       "        .dl-horizontal dt {\n",
       "            text-align: left;\n",
       "            padding-right: 1em;\n",
       "            white-space: normal;\n",
       "        }\n",
       "\n",
       "        .dl-horizontal dd {\n",
       "            margin-left: 0;\n",
       "        }\n",
       "\n",
       "        .ignore {\n",
       "            opacity: 0.4;\n",
       "        }\n",
       "\n",
       "        .container.pandas-profiling {\n",
       "            max-width:975px;\n",
       "        }\n",
       "\n",
       "        .col-md-12 {\n",
       "            padding-left: 2em;\n",
       "        }\n",
       "\n",
       "        .indent {\n",
       "            margin-left: 1em;\n",
       "        }\n",
       "\n",
       "        .center-img {\n",
       "            margin-left: auto !important;\n",
       "            margin-right: auto !important;\n",
       "            display: block;\n",
       "        }\n",
       "\n",
       "        /* Table example_values */\n",
       "            table.example_values {\n",
       "                border: 0;\n",
       "            }\n",
       "\n",
       "            .example_values th {\n",
       "                border: 0;\n",
       "                padding: 0 ;\n",
       "                color: #555;\n",
       "                font-weight: 600;\n",
       "            }\n",
       "\n",
       "            .example_values tr, .example_values td{\n",
       "                border: 0;\n",
       "                padding: 0;\n",
       "                color: #555;\n",
       "            }\n",
       "\n",
       "        /* STATS */\n",
       "            table.stats {\n",
       "                border: 0;\n",
       "            }\n",
       "\n",
       "            .stats th {\n",
       "                border: 0;\n",
       "                padding: 0 2em 0 0;\n",
       "                color: #555;\n",
       "                font-weight: 600;\n",
       "            }\n",
       "\n",
       "            .stats tr {\n",
       "                border: 0;\n",
       "            }\n",
       "\n",
       "            .stats td{\n",
       "                color: #555;\n",
       "                padding: 1px;\n",
       "                border: 0;\n",
       "            }\n",
       "\n",
       "\n",
       "        /* Sample table */\n",
       "            table.sample {\n",
       "                border: 0;\n",
       "                margin-bottom: 2em;\n",
       "                margin-left:1em;\n",
       "            }\n",
       "            .sample tr {\n",
       "                border:0;\n",
       "            }\n",
       "            .sample td, .sample th{\n",
       "                padding: 0.5em;\n",
       "                white-space: nowrap;\n",
       "                border: none;\n",
       "\n",
       "            }\n",
       "\n",
       "            .sample thead {\n",
       "                border-top: 0;\n",
       "                border-bottom: 2px solid #ddd;\n",
       "            }\n",
       "\n",
       "            .sample td {\n",
       "                width:100%;\n",
       "            }\n",
       "\n",
       "\n",
       "        /* There is no good solution available to make the divs equal height and then center ... */\n",
       "            .histogram {\n",
       "                margin-top: 3em;\n",
       "            }\n",
       "        /* Freq table */\n",
       "\n",
       "            table.freq {\n",
       "                margin-bottom: 2em;\n",
       "                border: 0;\n",
       "            }\n",
       "            table.freq th, table.freq tr, table.freq td {\n",
       "                border: 0;\n",
       "                padding: 0;\n",
       "            }\n",
       "\n",
       "            .freq thead {\n",
       "                font-weight: 600;\n",
       "                white-space: nowrap;\n",
       "                overflow: hidden;\n",
       "                text-overflow: ellipsis;\n",
       "\n",
       "            }\n",
       "\n",
       "            td.fillremaining{\n",
       "                width:auto;\n",
       "                max-width: none;\n",
       "            }\n",
       "\n",
       "            td.number, th.number {\n",
       "                text-align:right ;\n",
       "            }\n",
       "\n",
       "        /* Freq mini */\n",
       "            .freq.mini td{\n",
       "                width: 50%;\n",
       "                padding: 1px;\n",
       "                font-size: 12px;\n",
       "\n",
       "            }\n",
       "            table.freq.mini {\n",
       "                 width:100%;\n",
       "            }\n",
       "            .freq.mini th {\n",
       "                overflow: hidden;\n",
       "                text-overflow: ellipsis;\n",
       "                white-space: nowrap;\n",
       "                max-width: 5em;\n",
       "                font-weight: 400;\n",
       "                text-align:right;\n",
       "                padding-right: 0.5em;\n",
       "            }\n",
       "\n",
       "            .missing {\n",
       "                color: #a94442;\n",
       "            }\n",
       "            .alert, .alert > th, .alert > td {\n",
       "                color: #a94442;\n",
       "            }\n",
       "\n",
       "\n",
       "        /* Bars in tables */\n",
       "            .freq .bar{\n",
       "                float: left;\n",
       "                width: 0;\n",
       "                height: 100%;\n",
       "                line-height: 20px;\n",
       "                color: #fff;\n",
       "                text-align: center;\n",
       "                background-color: #337ab7;\n",
       "                border-radius: 3px;\n",
       "                margin-right: 4px;\n",
       "            }\n",
       "            .other .bar {\n",
       "                background-color: #999;\n",
       "            }\n",
       "            .missing .bar{\n",
       "                background-color: #a94442;\n",
       "            }\n",
       "            .tooltip-inner {\n",
       "                width: 100%;\n",
       "                white-space: nowrap;\n",
       "                text-align:left;\n",
       "            }\n",
       "\n",
       "            .extrapadding{\n",
       "                padding: 2em;\n",
       "            }\n",
       "\n",
       "            .pp-anchor{\n",
       "\n",
       "            }\n",
       "\n",
       "</style>\n",
       "\n",
       "<div class=\"container pandas-profiling\">\n",
       "    <div class=\"row headerrow highlight\">\n",
       "        <h1>Overview</h1>\n",
       "    </div>\n",
       "    <div class=\"row variablerow\">\n",
       "    <div class=\"col-md-6 namecol\">\n",
       "        <p class=\"h4\">Dataset info</p>\n",
       "        <table class=\"stats\" style=\"margin-left: 1em;\">\n",
       "            <tbody>\n",
       "            <tr>\n",
       "                <th>Number of variables</th>\n",
       "                <td>2 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Number of observations</th>\n",
       "                <td>214200 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Total Missing (%)</th>\n",
       "                <td>0.0% </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Total size in memory</th>\n",
       "                <td>4.9 MiB </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Average record size in memory</th>\n",
       "                <td>24.0 B </td>\n",
       "            </tr>\n",
       "            </tbody>\n",
       "        </table>\n",
       "    </div>\n",
       "    <div class=\"col-md-6 namecol\">\n",
       "        <p class=\"h4\">Variables types</p>\n",
       "        <table class=\"stats\" style=\"margin-left: 1em;\">\n",
       "            <tbody>\n",
       "            <tr>\n",
       "                <th>Numeric</th>\n",
       "                <td>2 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Categorical</th>\n",
       "                <td>0 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Boolean</th>\n",
       "                <td>0 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Date</th>\n",
       "                <td>0 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Text (Unique)</th>\n",
       "                <td>0 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Rejected</th>\n",
       "                <td>0 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Unsupported</th>\n",
       "                <td>0 </td>\n",
       "            </tr>\n",
       "            </tbody>\n",
       "        </table>\n",
       "    </div>\n",
       "</div>\n",
       "    <div class=\"row headerrow highlight\">\n",
       "        <h1>Variables</h1>\n",
       "    </div>\n",
       "    <div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_item_id\">item_id<br/>\n",
       "            <small>Numeric</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-6\">\n",
       "    <div class=\"row\">\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "                <tr>\n",
       "                    <th>Distinct count</th>\n",
       "                    <td>5100</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>2.4%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "\n",
       "        </div>\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "\n",
       "                <tr>\n",
       "                    <th>Mean</th>\n",
       "                    <td>11019</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>30</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>22167</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Zeros (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram4299568590081960729\">\n",
       "    <img src=\"%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAAdNJREFUeJzt3T2u00AYhtHPEW2cPop3wSLYEzUl%2B2ER7CJRFmCLgoKYAkIDvLq5uhnn55wyjjQTeR7N2E26eZ7nauxwONQwDK2H5c7t9/va7XZNx3zXdLTf1ut1Vf36wX3fLzEF7sg4jjUMw59109IigXRdV1VVfd8L5A28//jlou9//fThSjO5rvO6aWmRQN7apQuk6n4XCW2tlp4A3DKBQCAQCAQCgUAgeIi3WI/kNW/kuJ6nDcSrYV7CEQsCgUDwtEes13iU54NWx8tHOMbaQSCwg/Aij7J7XurmAnnWG8FtcsSCQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIFjk/0Hmea6qqnEc/7r24/u31tPhhvxrTZw/O6%2BblhYJZJqmqqoahmGJ4blhm8//vzZNU202m3aTqapuXiDL0%2BlUx%2BOx1ut1dV3XenjuzDzPNU1TbbfbWq3aPhUsEgjcCw/pEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQ/ATlqUhmTBgjyAAAAAElFTkSuQmCC\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives4299568590081960729,#minihistogram4299568590081960729\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives4299568590081960729\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles4299568590081960729\"\n",
       "                                                  aria-controls=\"quantiles4299568590081960729\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram4299568590081960729\" aria-controls=\"histogram4299568590081960729\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common4299568590081960729\" aria-controls=\"common4299568590081960729\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme4299568590081960729\" aria-controls=\"extreme4299568590081960729\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
       "\n",
       "    </ul>\n",
       "\n",
       "    <div class=\"tab-content\">\n",
       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles4299568590081960729\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>30</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>1388</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>5381.5</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>11203</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>16072</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>20831</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>22167</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>22137</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>10690</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "            <div class=\"col-md-4 col-md-offset-2\">\n",
       "                <p class=\"h4\">Descriptive statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Standard deviation</th>\n",
       "                        <td>6252.6</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>0.56742</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>-1.1793</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>11019</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>5418.7</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>0.0027307</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>2360355186</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>39096000</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>3.3 MiB</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram4299568590081960729\">\n",
       "            <img src=\"%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJzt3X1wVFWe//FPC0kT2aSHB5NOA2K0FMEgJYkLiSIPSgIKrIMzgmiWzDpZGXkQA6si64hsCaiIrCI4Mgo%2BoKALcdmCiQmjBtgkPAQQAoisgIAkBDB0gIEkwPn9wS%2B3aMKDoydJN7xfVV2Vvvfb59x7rk1/PPf2bZcxxggAAADWXNXQGwAAAHC5IWABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGWNG3oDrgSnT5/Wvn37FBkZKZfL1dCbAwDAFcEYoyNHjsjn8%2Bmqq%2Bp3TomAVQ/27dunNm3aNPRmAABwRdqzZ49at25dr30SsOpBZGSkpDMHOCoqqoG3BgCAK0NFRYXatGnjfA7XJwJWPag5LRgVFUXAAgCgnjXE5Tlc5A4AAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAy/ixZwC4zCSOz27oTfjJ1r7Yp6E3AagTzGABAABYRsACAACwjIAFAABgGddgod6E0nUhEteGAAB%2BPmawAAAALCNgAQAAWEbAAgAAsCwoA9bkyZN1%2B%2B23KzIyUtHR0br//vu1bdu2gJoePXrI5XIFPAYPHhxQU15errS0NHk8Hnk8HqWlpenw4cMBNZs2bVL37t0VERGhVq1aaeLEiTLGBNQsXLhQHTp0kNvtVocOHZSVlVU3Ow4AAC4LQRmw8vLyNHz4cBUWFio3N1cnT55USkqKjh07FlCXkZGhkpIS5/GnP/0pYP2QIUO0YcMGZWdnKzs7Wxs2bFBaWpqzvqKiQr1795bP59OaNWv0xhtvaOrUqZo2bZpTU1BQoEGDBiktLU1ff/210tLS9OCDD2rVqlV1OwgAACBkBeW3CLOzA79tNmfOHEVHR6uoqEh33XWXs/zqq6%2BW1%2Bs9bxtbt25Vdna2CgsL1aVLF0nS7NmzlZSUpG3btqldu3aaN2%2BeTpw4oblz58rtdis%2BPl7ffvutpk2bpszMTLlcLk2fPl29e/fWuHHjJEnjxo1TXl6epk%2Bfro8//riORgAAAISyoJzBOpff75ckNW/ePGD5vHnz1LJlS91yyy0aO3asjhw54qwrKCiQx%2BNxwpUkde3aVR6PR/n5%2BU5N9%2B7d5Xa7nZrU1FTt27dPu3btcmpSUlIC%2Bk1NTXXaOJ/KykpVVFQEPAAAwJUjKGewzmaMUWZmpu68807Fx8c7yx9%2B%2BGHFxcXJ6/WquLhY48aN09dff63c3FxJUmlpqaKjo2u1Fx0drdLSUqfmuuuuC1gfExPjrIuLi1Npaamz7OyamjbOZ/LkyXrhhRd%2B1v4CAIDQF/QBa8SIEdq4caNWrlwZsDwjI8P5Oz4%2BXjfeeKMSExO1bt06de7cWZLkcrlqtWeMCVh%2Bbk3NBe6Xqjlf2zXGjRunzMxM53lFRYXatGlzwXoAAHB5CeqANXLkSC1evFjLly9X69atL1rbuXNnhYWFafv27ercubO8Xq/2799fq%2B7AgQPOjJTX6601E1VWViZJl6w5d1brbG63O%2BC0IwAAuLIE5TVYxhiNGDFCixYt0hdffKG4uLhLvmbz5s2qrq5WbGysJCkpKUl%2Bv1%2BrV692alatWiW/36/k5GSnZvny5aqqqnJqcnJy5PP5nFOHSUlJzmnHs2tq2gAAADhXUAas4cOH68MPP9RHH32kyMhIlZaWqrS0VMePH5ckfffdd5o4caLWrl2rXbt2aenSpfrtb3%2Br2267TXfccYckqX379urTp48yMjJUWFiowsJCZWRkqF%2B/fmrXrp2kM7dxcLvdSk9PV3FxsbKysjRp0iTnG4SS9MQTTygnJ0cvvfSSvvnmG7300ktatmyZRo8e3TCDAwAAgl5QBqxZs2bJ7/erR48eio2NdR4LFiyQJIWHh%2Buvf/2rUlNT1a5dO40aNUopKSlatmyZGjVq5LQzb948dezYUSkpKUpJSdGtt96qDz74wFnv8XiUm5urvXv3KjExUY8//rgyMzMDrp9KTk7W/PnzNWfOHN16662aO3euFixYEPDtRAAAgLO5zLm3LYd1FRUV8ng88vv9ioqKaujNaTCJ47MvXRRE1r7Yp6E3AfhZQum9xvsMdakhP3%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%2Bvt956q9b2zJw5U3FxcWrSpIkSEhK0YsUK%2BzsNAAAuC0EbsPLy8jR8%2BHAVFhYqNzdXJ0%2BeVEpKio4dO%2BbUjB49WllZWZo/f75Wrlypo0ePql%2B/fjp16pQk6dSpU7rvvvt07NgxrVy5UvPnz9fChQs1ZswYp42dO3fq3nvvVbdu3bR%2B/Xo9%2B%2ByzGjVqlBYuXOjULFiwQKNHj9b48eO1fv16devWTX379tXu3bvrb0AAAEDIcBljTENvxE9x4MABRUdHKy8vT3fddZf8fr%2BuueYaffDBBxo0aJAkad%2B%2BfWrTpo2WLl2q1NRU/eUvf1G/fv20Z88e%2BXw%2BSdL8%2BfOVnp6usrIyRUVF6emnn9bixYu1detWp69hw4bp66%2B/VkFBgSSpS5cu6ty5s2bNmuXUtG/fXvfff78mT558yW2vqKiQx%2BOR3%2B9XVFSUzWEJKYnjsxt6Ey5ra1/s09Cb8JPx3wJCVSi9z9Cwn79BO4N1Lr/fL0lq3ry5JKmoqEjV1dVKSUlxanw%2Bn%2BLj45Wfny9JKigoUHx8vBOuJCk1NVWVlZUqKipyas5uo6Zm7dq1qq6uVlVVlYqKimrVpKSkOP0AAACcrXFDb8BPYYxRZmam7rzzTsXHx0uSSktLFR4ermbNmgXUxsTEqLS01KmJiYkJWN%2BsWTOFh4dftCYmJkYnT57UwYMHZYzRqVOnzltT08a5KisrVVlZ6TyvqKj4GXsNAMAvE0qzxZfb7GBIBKwRI0Zo48aNWrly5SVrjTFyuVzO87P//qk1NWdNXS5XwN8Xa%2BNskydP1gsvvHDJbQVsCqV/SAHgchf0pwhHjhypxYsX68svv1Tr1q2d5V6vV1VVVSovLw%2BoLysrc2abvF5vrVmm8vJyVVdXX7SmrKxMjRs3VosWLdSyZUs1atTovDXnzmrVGDdunPx%2Bv/PYs2fPz9t5AAAQkoI2YBljNGLECC1atEhffPGF4uLiAtYnJCQoLCxMubm5zrKSkhIVFxcrOTlZkpSUlKTi4mKVlJQ4NTk5OXK73UpISHBqzm6jpiYxMVFhYWEKDw9XQkJCrZrc3Fynn3O53W5FRUUFPAAAwJUjaE8RDh8%2BXB999JH%2B%2B7//W5GRkc4MksfjUUREhDwejx599FGNGTNGLVq0UPPmzTV27Fh17NhR99xzj6QzF6J36NBBaWlpeuWVV/Tjjz9q7NixysjIcELPsGHDNGPGDGVmZiojI0MFBQV655139PHHHzvbkpmZqbS0NCUmJiopKUlvv/22du/erWHDhtX/wAAAgKAXtAGr5pYIPXr0CFg%2BZ84cpaenS5Jee%2B01NW7cWA8%2B%2BKCOHz%2Buu%2B%2B%2BW3PnzlWjRo0kSY0aNdKSJUv0%2BOOP64477lBERISGDBmiqVOnOu3FxcVp6dKlevLJJ/Xmm2/K5/Pp9ddf1wMPPODUDBo0SIcOHdLEiRNVUlKi%2BPh4LV26VG3btq3bQQAAACEpZO6DFcq4D9YZXIQNINSF2jfdQunf3boYW%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%2BqyawAAgAZTJwHr4MGDmj59ujp16qQ77rhDZWVl%2Buyzz/T999/rhx9%2BUL9%2B/fTP//zPddE1AABAg2tsu8Ff//rXWrp0qeLi4vT73/9eQ4cO1TXXXOOs/4d/%2BAc99dRTev311213DQAAEBSsB6yoqCgtW7ZM3bp1u2BNbGystm/fbrtrAACAoGA9YL333nuXrHG5XLrhhhtsdw0AABAUrF%2BD9eSTT2rGjBm1lr/55psaM2aM7e4AAACCjvWA9emnn6pr1661liclJWnBggW2uwMAAAg61gPWwYMH1axZs1rLo6KidPDgQdvdAQAABB3rAeuGG27Q559/Xmv5559/rri4ONvdAQAABB3rF7mPHj1ao0eP1qFDh9SrVy9J0l//%2Ble9/PLLmjp1qu3uAAAAgo71GayMjAxNmTJFM2fOVLdu3dStWzf9%2Bc9/1uuvv65hw4b95HaWL1%2Bu/v37y%2BfzyeVy6bPPPgtYn56eLpfLFfA499qvyspKjRw5Ui1btlTTpk01YMAA7d27N6Bm9%2B7d6t%2B/v5o2baqWLVtq1KhRqqqqCqjJy8tTQkKCmjRpouuvv15vvfXW3zkqAADgSlInd3IfOXKkSkpK9MMPP%2BjHH3/U7t279S//8i9/VxvHjh1Tp06dzvuNxBp9%2BvRRSUmJ81i6dGnA%2BtGjRysrK0vz58/XypUrdfToUfXr10%2BnTp2SJJ06dUr33Xefjh07ppUrV2r%2B/PlauHBhwLcdd%2B7cqXvvvVfdunXT%2BvXr9eyzz2rUqFFauHDh37U/AADgymH9FOHZYmNjf/Zr%2B/btq759%2B160xu12y%2Bv1nned3%2B/XO%2B%2B8ow8%2B%2BED33HOPJOnDDz9UmzZttGzZMqWmpionJ0dbtmzRnj175PP5JEmvvvqq0tPT9eKLLyoqKkpvvfWWrr32Wk2fPl2S1L59e61du1ZTp07VAw888LP3DwAAXL6sz2AdOHBAv/vd73TttdeqSZMmCg8PD3jY9NVXXyk6Olo33XSTMjIyVFZW5qwrKipSdXW1UlJSnGU%2Bn0/x8fHKz8%2BXJBUUFCg%2BPt4JV5KUmpqqyspKFRUVOTVnt1FTs3btWlVXV593uyorK1VRURHwAAAAVw7rM1jp6en67rvv9G//9m%2BKjY2Vy%2BWy3YWkMzNcv/3tb9W2bVvt3LlTzz33nHr16qWioiK53W6VlpYqPDy81i0jYmJiVFpaKkkqLS1VTExMwPpmzZopPDz8ojUxMTE6efKkDh48eN5ZusmTJ%2BuFF16wubsAACCEWA9Yy5cv1/Lly3XbbbfZbjrAoEGDnL/j4%2BOVmJiotm3basmSJRo4cOAFX2eMCQh95wuAl6oxxlzwtZI0btw4ZWZmOs8rKirUpk2bS%2BwRAAC4XFg/Rdi6des6m7W6mNjYWLVt29b5EWmv16uqqiqVl5cH1JWVlTkzUl6v15mpqlFeXq7q6uqL1pSVlalx48Zq0aLFebfF7XYrKioq4AEAAK4c1gPWa6%2B9pnHjxtW6HUJdO3TokPbs2eOcsktISFBYWJhyc3OdmpKSEhUXFys5OVnSmZ/vKS4uVklJiVOTk5Mjt9uthIQEp%2BbsNmpqEhMTFRYWVte7BQAAQpD1U4RpaWk6cuSI2rZtq6ioqFoh5OwL0S/m6NGj%2Br//%2Bz/n%2Bc6dO7VhwwY1b95czZs314QJE/TAAw8oNjZWu3bt0rPPPquWLVvq17/%2BtSTJ4/Ho0Ucf1ZgxY9SiRQs1b95cY8eOVceOHZ1vFaakpKhDhw5KS0vTK6%2B8oh9//FFjx45VRkaGM%2Bs0bNgwzZgxQ5mZmcrIyFBBQYHeeecdffzxxzaGCwAAXIasB6wpU6ZYaWft2rXq2bOn87zmmqahQ4dq1qxZ2rRpk95//30dPnxYsbGx6tmzpxYsWKDIyEjnNa%2B99poaN26sBx98UMePH9fdd9%2BtuXPnqlGjRpKkRo0aacmSJXr88cd1xx13KCIiQkOGDAm443xcXJyWLl2qJ598Um%2B%2B%2BaZ8Pp9ef/11btEAAAAuyGVqrthGnamoqJDH45Hf77d%2BPVbi%2BGyr7QEA0BDWvtjHept1%2Bfl7KXVyJ/ddu3ZpwoQJSktLc04J5uTkaOvWrXXRHQAAQFCxHrBWrFihW265RXl5efrkk0909OhRSdK6dev0xz/%2B0XZ3AAAAQcd6wHr66ac1YcIEffnllwF3bu/Vq5cKCwttdwcAABB0rAesjRs36je/%2BU2t5dHR0Tpw4IDt7gAAAIKO9YD1q1/9qtaNOSVpw4YNatWqle3uAAAAgo71gDV48GA988wzOnDggHNH91WrVmns2LF65JFHbHcHAAAQdKwHrEmTJsnr9So2NlZHjx5Vhw4dlJycrNtvv13PPfec7e4AAACCjvUbjYaHh2vBggX69ttvtW7dOp0%2BfVqdO3fWzTffbLsrAACAoGQ9YNW46aabdNNNN9VV8wAAAEHLesD613/914uuf/vtt213CQAAEFSsB6ySkpKA59XV1dq8ebOOHDmiu%2B66y3Z3AAAAQcd6wPqf//mfWstOnjypP/zhD2rfvr3t7gAAAIJOnfwW4bkaN26ssWPH6pVXXqmP7gAAABpUvQQsSdqxY4eqq6vrqzsAAIAGY/0U4VNPPRXw3BijkpISLV68WA8//LDt7gAAAIKO9YBVUFAQ8Pyqq67SNddcoylTpigjI8N2dwAAAEHHesBasWKF7SYBAABCSr1dgwUAAHClsD6Ddfvttzs/8nwpq1evtt09AABAg7MesHr27Kk//elPuummm5SUlCRJKiws1LZt2/TYY4/J7Xbb7hIAACCoWA9Yhw8f1vDhwzVp0qSA5ePHj9f%2B/fv15z//2XaXAAAAQcX6NViffPKJfve739Vanp6erk8//dR2dwAAAEHHesByu93Kz8%2BvtTw/P5/TgwAA4Ipg/RThqFGjNGzYMK1fv15du3aVdOYarNmzZ%2BvZZ5%2B13R0AAEDQsR6wxo8fr7i4OP3nf/6n3n33XUlS%2B/btNXv2bA0ZMsR2dwAAAEHHesCSpCFDhhCmAADAFatObjRaUVGhuXPn6o9//KPKy8slSV9//bVKSkrqojsAAICgYn0Gq7i4WPfcc4%2Buvvpq7dmzR%2Bnp6WrWrJk%2B%2BeQT7d27V%2B%2B9957tLgEAAIKK9RmsJ598UkOGDNF3332nJk2aOMvvu%2B8%2BLV%2B%2B3HZ3AAAAQcf6DNaaNWs0a9asWj%2BX06pVK04RAgCAK4L1Gazw8HAdPXq01vLt27erZcuWtrsDAAAIOtYD1oABA/Qf//EfOnnypCTJ5XLphx9%2B0DPPPKOBAwfa7g4AACDoWA9Yr776qvbt2yev16vjx4%2BrV69euv7669WkSZNav08IAABwObJ%2BDZbH41F%2Bfr5yc3O1bt06nT59Wp07d1Zqamqt67IAAAAuR1YDVnV1te69917NnDlTKSkpSklJsdk8AABASLB6ijAsLEzr169npgoAAFzRrF%2BD9cgjj2jOnDm2mwUAAAgZdfJbhDNmzNCyZcuUmJiopk2bBqx7%2BeWX66JLAACAoGE9YBUVFenWW2%2BVJG3cuDFgHacOAQDAlcBawNqxY4fi4uK0YsUKW00CAACEJGvXYN144406cOCA83zQoEHav3%2B/reYBAABChrWAZYwJeL506VIdO3bMVvMAAAAhw/q3CAEAAK501gKWy%2BWqdRE7F7UDAIArkbWL3I0xSk9Pl9vtliSdOHFCw4YNq3WbhkWLFtnqEgAAIChZC1hDhw4NeP7II4/YahoAACCkWAtY3L0dAADgjKC9yH358uXq37%2B/fD6fXC6XPvvss4D1xhhNmDBBPp9PERER6tGjhzZv3hxQU15errS0NHk8Hnk8HqWlpenw4cMBNZs2bVL37t0VERGhVq1aaeLEibW%2BEblw4UJ16NBBbrdbHTp0UFZWVt3sNAAAuCwEbcA6duyYOnXqpBkzZpx3/csvv6xp06ZpxowZWrNmjbxer3r37q0jR444NUOGDNGGDRuUnZ2t7OxsbdiwQWlpac76iooK9e7dWz6fT2vWrNEbb7yhqVOnatq0aU5NQUGBBg0apLS0NH399ddKS0vTgw8%2BqFWrVtXdzgMAgJDmMudO1wQhl8ulrKws3X///ZLOzF75fD6NHj1aTz/9tCSpsrJSMTExeumll/TYY49p69at6tChgwoLC9WlSxdJUmFhoZKSkvTNN9%2BoXbt2mjVrlsaNG6f9%2B/c7F%2BdPmTJFb7zxhvbu3SuXy6VBgwapoqJCf/nLX5zt6dOnj5o1a6aPP/74J21/RUWFPB6P/H6/oqKibA6NEsdnW20PAICGsPbFPtbbrMvP30sJ2hmsi9m5c6dKS0uVkpLiLHO73erevbvy8/MlnZl58ng8TriSpK5du8rj8QTUdO/e3QlXkpSamqp9%2B/Zp165dTs3Z/dTU1LQBAABwrpAMWKWlpZKkmJiYgOUxMTHOutLSUkVHR9d6bXR0dEDN%2Bdo4u48L1dSsP5/KykpVVFQEPAAAwJUjJANWjXNvZGqMCVh2vhudXqqm5ozppWoudhPVyZMnOxfWezwetWnT5ifsDQAAuFyEZMDyer2SVGsWqayszJlt8nq95/2x6QMHDgTUnK8NSZesOXdW62zjxo2T3%2B93Hnv27Pl7dg8AAIS4kAxYcXFx8nq9ys3NdZZVVVUpLy9PycnJkqSkpCT5/X6tXr3aqVm1apX8fn9AzfLly1VVVeXU5OTkyOfz6brrrnNqzu6npqamjfNxu92KiooKeAAAgCtH0Aaso0ePasOGDdqwYYOkMxe2b9iwQbt375bL5dLo0aM1adIkZWVlqbi4WOnp6br66qs1ZMgQSVL79u3Vp08fZWRkqLCwUIWFhcrIyFC/fv3Url07SWdu4%2BB2u5Wenq7i4mJlZWVp0qRJyszMdE4BPvHEE8rJydFLL72kb775Ri%2B99JKWLVum0aNHN8zAAACAoGftTu62rV27Vj179nSeZ2ZmSjrzkzxz587VU089pePHj%2Bvxxx9XeXm5unTpopycHEVGRjqvmTdvnkaNGuV8C3DAgAEB99XyeDzKzc3V8OHDlZiYqGbNmikzM9PpS5KSk5M1f/58/fu//7uee%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%2B6KiIhQq1atNHHiRBlj6mUfAQBAaArZgCVJt9xyi0pKSpzHpk2bnHUvv/yypk2bphkzZmjNmjXyer3q3bu3jhw54tQMGTJEGzZsUHZ2trKzs7VhwwalpaU56ysqKtS7d2/5fD6tWbNGb7zxhqZOnapp06bV634CAIDQ0rihN%2BCXaNy4ccCsVQ1jjKZPn67x48dr4MCBkqT33ntPMTEx%2Buijj/TYY49p69atys7OVmFhobp06SJJmj17tpKSkrRt2za1a9dO8%2BbN04kTJzR37ly53W7Fx8fr22%2B/1bRp05SZmSmXy1Wv%2BwsAAEJDSM9gbd%2B%2BXT6fT3FxcRo8eLB27NghSdq5c6dKS0uVkpLi1LrdbnXv3l35%2BfmSpIKCAnk8HidcSVLXrl3l8XgCarpFvto7AAAO40lEQVR37y632%2B3UpKamat%2B%2Bfdq1a9cFt6uyslIVFRUBDwAAcOUI2YDVpUsXvf/%2B%2B/r88881e/ZslZaWKjk5WYcOHVJpaakkKSYmJuA1MTExzrrS0lJFR0fXajc6Ojqg5nxt1Ky7kMmTJzvXdXk8HrVp0%2Bbn7ygAAAg5IRuw%2BvbtqwceeEAdO3bUPffcoyVLlkg6cyqwxrmn8IwxAcvOd4rvUjU1F7hf7PTguHHj5Pf7nceePXv%2Bjj0DAAChLmQD1rmaNm2qjh07avv27c51WefOMpWVlTkzUF6vV/v376/VzoEDBwJqzteGVHt27Gxut1tRUVEBDwAAcOW4bAJWZWWltm7dqtjYWMXFxcnr9So3N9dZX1VVpby8PCUnJ0uSkpKS5Pf7tXr1aqdm1apV8vv9ATXLly9XVVWVU5OTkyOfz6frrruufnYMAACEnJANWGPHjlVeXp527typVatW6Te/%2BY0qKio0dOhQuVwujR49WpMmTVJWVpaKi4uVnp6uq6%2B%2BWkOGDJEktW/fXn369FFGRoYKCwtVWFiojIwM9evXT%2B3atZN05jYObrdb6enpKi4uVlZWliZNmsQ3CAEAwEWF7G0a9u7dq4ceekgHDx7UNddco65du6qwsFBt27aVJD311FM6fvy4Hn/8cZWXl6tLly7KyclRZGSk08a8efM0atQo59uGAwYM0IwZM5z1Ho9Hubm5Gj58uBITE9WsWTNlZmYqMzOzfncWAACEFJfhtuR1rqKiQh6PR36/3/r1WInjs622BwBAQ1j7Yh/rbdbl5%2B%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%2B9%2Brffv2mj59utq0aaNZs2Y19KYBAIAg1LihNyDYVVVVqaioSM8880zA8pSUFOXn55/3NZWVlaqsrHSe%2B/1%2BSVJFRYX17TtVecx6mwAA1Le6%2BIysadMYY73tSyFgXcLBgwd16tQpxcTEBCyPiYlRaWnpeV8zefJkvfDCC7WWt2nTpk62EQCAUOd5te7aPnLkiDweT911cB4ErJ/I5XIFPDfG1FpWY9y4ccrMzHSenz59Wj/%2B%2BKNatGhxwdf8vSoqKtSmTRvt2bNHUVFRVtrEz8OxCA4ch%2BDBsQgOHIczn9VHjhyRz%2Ber974JWJfQsmVLNWrUqNZsVVlZWa1ZrRput1tutztg2a9%2B9as62b6oqKgr9o0TbDgWwYHjEDw4FsHhSj8O9T1zVYOL3C8hPDxcCQkJys3NDViem5ur5OTkBtoqAAAQzJjB%2BgkyMzOVlpamxMREJSUl6e2339bu3bs1bNiwht40AAAQhBpNmDBhQkNvRLCLj49XixYtNGnSJE2dOlXHjx/XBx98oE6dOjXodjVq1Eg9evRQ48bk5IbGsQgOHIfgwbEIDhyHhuMyDfHdRQAAgMsY12ABAABYRsACAACwjIAFAABgGQELAADAMgJWiJo5c6bi4uLUpEkTJSQkaMWKFQ29SSFrwoQJcrlcAQ%2Bv1%2BusN8ZowoQJ8vl8ioiIUI8ePbR58%2BaANsrLy5WWliaPxyOPx6O0tDQdPnw4oGbTpk3q3r27IiIi1KpVK02cOLFBfh8rmCxfvlz9%2B/eXz%2BeTy%2BXSZ599FrC%2BPsd%2B4cKF6tChg9xutzp06KCsrKy62ekgdKnjkJ6eXus90rVr14CayspKjRw5Ui1btlTTpk01YMAA7d27N6Bm9%2B7d6t%2B/v5o2baqWLVtq1KhRqqqqCqjJy8tTQkKCmjRpouuvv15vvfVW3ex0kJo8ebJuv/12RUZGKjo6Wvfff7%2B2bdsWUFOfY81nzS9gEHLmz59vwsLCzOzZs82WLVvME088YZo2bWq%2B//77ht60kPT888%2BbW265xZSUlDiPsrIyZ/2UKVNMZGSkWbhwodm0aZMZNGiQiY2NNRUVFU5Nnz59THx8vMnPzzf5%2BfkmPj7e9OvXz1nv9/tNTEyMGTx4sNm0aZNZuHChiYyMNFOnTq3XfQ02S5cuNePHjzcLFy40kkxWVlbA%2Bvoa%2B/z8fNOoUSMzadIks3XrVjNp0iTTuHFjU1hYWPeDEAQudRyGDh1q%2BvTpE/AeOXToUEDNsGHDTKtWrUxubq5Zt26d6dmzp%2BnUqZM5efKkMcaYkydPmvj4eNOzZ0%2Bzbt06k5uba3w%2BnxkxYoTTxo4dO8zVV19tnnjiCbNlyxYze/ZsExYWZv7rv/6r7gchSKSmppo5c%2BaY4uJis2HDBnPfffeZa6%2B91hw9etSpqa%2Bx5rPmlyFghaB//Md/NMOGDQtYdvPNN5tnnnmmgbYotD3//POmU6dO5113%2BvRp4/V6zZQpU5xlJ06cMB6Px7z11lvGGGO2bNliJAV8GBcUFBhJ5ptvvjHGGDNz5kzj8XjMiRMnnJrJkycbn89nTp8%2BXRe7FXLO/WCvz7F/8MEHTZ8%2BfQK2JzU11QwePNj%2Bjga5CwWsf/qnf7rgaw4fPmzCwsLM/PnznWU//PCDueqqq0x2drYx5kyIu%2Bqqq8wPP/zg1Hz88cfG7XYbv99vjDHmqaeeMjfffHNA24899pjp2rXrL96vUFVWVmYkmby8PGNM/Y41nzW/DKcIQ0xVVZWKioqUkpISsDwlJUX5%2BfkNtFWhb/v27fL5fIqLi9PgwYO1Y8cOSdLOnTtVWloaMN5ut1vdu3d3xrugoEAej0ddunRxarp27SqPxxNQ071794DfqExNTdW%2Bffu0a9euetjD0FOfY19QUFDrPZWamsp76ixfffWVoqOjddNNNykjI0NlZWXOuqKiIlVXVweMoc/nU3x8fMBxiI%2BPD/jR3dTUVFVWVqqoqMipOd9xWLt2raqrq%2Bty94KW3%2B%2BXJDVv3lxS/Y01nzW/HAErxBw8eFCnTp2q9UPTMTExtX6QGj9Nly5d9P777%2Bvzzz/X7NmzVVpaquTkZB06dMgZ04uNd2lpqaKjo2u1Gx0dHVBzvjZq1qG2%2Bhz7C9VwbM7o27ev5s2bpy%2B%2B%2BEKvvvqq1qxZo169eqmyslLSmfELDw9Xs2bNAl537rE6d4ybNWum8PDwSx6HkydP6uDBg3W1e0HLGKPMzEzdeeedio%2BPl1R/Y81nzS/HvfNDlMvlCnhujKm1DD9N3759nb87duyopKQk3XDDDXrvvfecC3kvNd7nG/tL1Zj/f5E1x%2B3i6mvseU9d2KBBg5y/4%2BPjlZiYqLZt22rJkiUaOHDgBV/H%2B%2BSXGTFihDZu3KiVK1destb2WF9o3Hlf/HTMYIWYli1bqlGjRrX%2BD6KsrKzW/2ng52natKk6duyo7du3O98mvNh4e71e7d%2B/v1Y7Bw4cCKg5XxtS7RkanFGfY3%2BhGo7N%2BcXGxqpt27bavn27pDPjV1VVpfLy8oC6c4/VuWNcXl6u6urqSx6Hxo0bq0WLFnW1O0Fp5MiRWrx4sb788ku1bt3aWV5fY81nzS9HwAox4eHhSkhIUG5ubsDy3NxcJScnN9BWXV4qKyu1detWxcbGKi4uTl6vN2C8q6qqlJeX54x3UlKS/H6/Vq9e7dSsWrVKfr8/oGb58uUBX5POycmRz%2BfTddddVz87FmLqc%2ByTkpJqvadycnJ4T13AoUOHtGfPHsXGxkqSEhISFBYWFjCGJSUlKi4uDjgOxcXFKikpcWpycnLkdruVkJDg1JzvOCQmJiosLKyudysoGGM0YsQILVq0SF988YXi4uIC1tfXWPNZY0F9X1WPX67mq7PvvPOO2bJlixk9erRp2rSp2bVrV0NvWkgaM2aM%2Beqrr8yOHTtMYWGh6devn4mMjHTGc8qUKcbj8ZhFixaZTZs2mYceeui8twq49dZbTUFBgSkoKDAdO3YMuFXA4cOHTUxMjHnooYfMpk2bzKJFi0xUVNQVf5uGI0eOmPXr15v169cbSWbatGlm/fr1ztfA62vs//d//9c0atTITJkyxWzdutVMmTLlirpNw8WOw5EjR8yYMWNMfn6%2B2blzp/nyyy9NUlKSadWqVcBxGDZsmGndurVZtmyZWbdunenVq9d5bx1w9913m3Xr1plly5aZ1q1bn/fWAU8%2B%2BaTZsmWLeeedd6642zT84Q9/MB6Px3z11VcBt8X429/%2B5tTU11jzWfPLELBC1Jtvvmnatm1rwsPDTefOnZ2v8OLvV3NvpbCwMOPz%2BczAgQPN5s2bnfWnT582zz//vPF6vcbtdpu77rrLbNq0KaCNQ4cOmYcffthERkaayMhI8/DDD5vy8vKAmo0bN5pu3boZt9ttvF6vmTBhwhV/i4Yvv/zSSKr1GDp0qDGmfsf%2B008/Ne3atTNhYWHm5ptvNgsXLqzTfQ8mFzsOf/vb30xKSoq55pprTFhYmLn22mvN0KFDze7duwPaOH78uBkxYoRp3ry5iYiIMP369atV8/3335v77rvPREREmObNm5sRI0YE3D7DGGO%2B%2Buorc9ttt5nw8HBz3XXXmVmzZtX5/geT8x0HSWbOnDlOTX2ONZ81P5/LmCv8VtIAAACWcQ0WAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADL/h/0yjcT754QDgAAAABJRU5ErkJggg%3D%3D\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common4299568590081960729\">\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">2047</td>\n",
       "        <td class=\"number\">42</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">19744</td>\n",
       "        <td class=\"number\">42</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">15406</td>\n",
       "        <td class=\"number\">42</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">13359</td>\n",
       "        <td class=\"number\">42</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3240</td>\n",
       "        <td class=\"number\">42</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1193</td>\n",
       "        <td class=\"number\">42</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">7338</td>\n",
       "        <td class=\"number\">42</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">11436</td>\n",
       "        <td class=\"number\">42</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">9389</td>\n",
       "        <td class=\"number\">42</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">21795</td>\n",
       "        <td class=\"number\">42</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"other\">\n",
       "        <td class=\"fillremaining\">Other values (5090)</td>\n",
       "        <td class=\"number\">213780</td>\n",
       "        <td class=\"number\">99.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme4299568590081960729\">\n",
       "            <p class=\"h4\">Minimum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">30</td>\n",
       "        <td class=\"number\">42</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">31</td>\n",
       "        <td class=\"number\">42</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">32</td>\n",
       "        <td class=\"number\">42</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">33</td>\n",
       "        <td class=\"number\">42</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">38</td>\n",
       "        <td class=\"number\">42</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "            <p class=\"h4\">Maximum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">22162</td>\n",
       "        <td class=\"number\">42</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">22163</td>\n",
       "        <td class=\"number\">42</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">22164</td>\n",
       "        <td class=\"number\">42</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">22166</td>\n",
       "        <td class=\"number\">42</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">22167</td>\n",
       "        <td class=\"number\">42</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_shop_id\">shop_id<br/>\n",
       "            <small>Numeric</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-6\">\n",
       "    <div class=\"row\">\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "                <tr>\n",
       "                    <th>Distinct count</th>\n",
       "                    <td>42</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "\n",
       "        </div>\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "\n",
       "                <tr>\n",
       "                    <th>Mean</th>\n",
       "                    <td>31.643</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>2</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>59</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Zeros (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram-225542972129920154\">\n",
       "    <img src=\"%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAAcNJREFUeJzt2jGO00AYhuHfEa2dPopvwSG4EzUl9%2BEQ3CJRDmCLgoKYArLNwiftahk75HnKWMqMo3k1sifdsixLNXY%2Bn2scx9bDcudOp1Mdj8emY75rOtpvfd9X1a8bHoZhjSlwR6ZpqnEcn9ZNS6sE0nVdVVUNw/AskPcfv7z4%2B75%2B%2BvAm82LbbuumpV3zEeGOCAQCgUAgEAgEAoFAIBAIBKucg2zBI5%2B3vObeW9nab2wHgUAgEAgEAoFAIBAIBAKBQCB42HOQrdryGcUjsoNAIBAIBAKBQCAQCAQCgUAgEDgHeQFnFI/HDgKBQCAQCAQCgUAgEAgEgv/iNa/Xr/wrdhAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEKzyd/dlWaqqapqmZ9d%2BfP/WejpsyJ/WxO2z27ppaZVA5nmuqqpxHNcYng3bf/77tXmea7/ft5tMVXXLCller9e6XC7V9311Xdd6eO7Msiw1z3MdDofa7do%2BFawSCNwLD%2BkQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBD8BXx5KrqqCMUMAAAAASUVORK5CYII%3D\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-225542972129920154,#minihistogram-225542972129920154\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives-225542972129920154\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-225542972129920154\"\n",
       "                                                  aria-controls=\"quantiles-225542972129920154\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram-225542972129920154\" aria-controls=\"histogram-225542972129920154\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common-225542972129920154\" aria-controls=\"common-225542972129920154\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme-225542972129920154\" aria-controls=\"extreme-225542972129920154\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
       "\n",
       "    </ul>\n",
       "\n",
       "    <div class=\"tab-content\">\n",
       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-225542972129920154\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>2</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>4</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>16</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>34.5</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>47</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>57</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>59</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>57</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>31</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "            <div class=\"col-md-4 col-md-offset-2\">\n",
       "                <p class=\"h4\">Descriptive statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Standard deviation</th>\n",
       "                        <td>17.562</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>0.555</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>-1.2569</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>31.643</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>15.469</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>-0.13499</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>6777900</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>308.42</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>3.3 MiB</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-225542972129920154\">\n",
       "            <img src=\"%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJzt3X9UVXW%2B//HXiR9HMzmhCIeTjFFTpqHehK6ClWYJWuQ0/bKxGGkabuSvCL0VeZvMuxIrM1PLyqmstLBZRddWRuBUqCOokJSombd0xARRQ1CvAur%2B/uFlfz2Cv7of5Rx9Ptbaa3H2fvP5fPanPLzWZ%2B%2Bzj8OyLEsAAAAw5oLWHgAAAMC5hoAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYFtvYAzgeHDx/Wtm3b1L59ezkcjtYeDgAA5wXLsrRnzx55PB5dcMHZXVMiYJ0F27ZtU1RUVGsPAwCA81JFRYU6d%2B58VvskYJ0F7du3l3TkP3BISEgrjwYAgPNDXV2doqKi7L/DZxMB6yxouiwYEhJCwAIA4CxrjdtzuMkdAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIbxZc9%2BLm5CXmsP4ZSVPDu4tYcAAMBZwQoWAACAYT4bsGbPnq2ePXsqJCREISEhio%2BP1%2Beff24fr6%2Bv15gxYxQWFqZ27dpp6NCh2rp1q1cbW7Zs0W233aZ27dopLCxMY8eOVUNDg1dNYWGhYmNj1aZNG1122WV67bXXmo3l1VdfVXR0tNq0aaPY2FgtXbr0zJw0AAA4J/hswOrcubOmTJmikpISlZSUaODAgfrd736ntWvXSpIyMjKUm5urnJwcLVu2THv37lVycrIOHTokSTp06JBuvfVW7du3T8uWLVNOTo4%2B%2BugjjRs3zu5j06ZNuuWWW3T99ddr9erVevLJJzV27Fh99NFHds2CBQuUkZGhCRMmaPXq1br%2B%2Bus1ZMgQbdmy5exOCAAA8BsOy7Ks1h7EqerQoYNeeOEF3XXXXerUqZPee%2B89DRs2TJK0bds2RUVFadGiRUpKStLnn3%2Bu5ORkVVRUyOPxSJJycnKUmpqq6upqhYSE6PHHH9fChQu1fv16u4/09HR9%2B%2B23KioqkiT16dNHvXv31uzZs%2B2abt266fbbb1d2dvYpjbuurk4ul0u1tbUKCQkxNR2SuAcLAIDjOZN/f0/GZ1ewjnbo0CHl5ORo3759io%2BPV2lpqRobG5WYmGjXeDwexcTEaPny5ZKkoqIixcTE2OFKkpKSklRfX6/S0lK75ug2mmpKSkrU2NiohoYGlZaWNqtJTEy0%2B2lJfX296urqvDYAAHD%2B8OmAtWbNGl100UVyOp1KT09Xbm6uunfvrqqqKgUHBys0NNSrPiIiQlVVVZKkqqoqRUREeB0PDQ1VcHDwCWsiIiJ08OBB7dy5Uzt37tShQ4darGlqoyXZ2dlyuVz2FhUV9avnAAAA%2BB%2BfDlhdu3ZVWVmZiouL9fDDD2vEiBFat27dcesty5LD4bBfH/3zqdY0XTE9WU1LbTfJyspSbW2tvVVUVBy3FgAAnHt8%2BjlYwcHB%2Bu1vfytJiouL06pVq/Tyyy9r2LBhamhoUE1NjdcqVnV1tRISEiRJbrdbK1as8GqvpqZGjY2N9oqU2%2B1uthJVXV2twMBAdezYUZZlKSAgoMWaY1e1juZ0OuV0On/9iQMAAL/m0ytYx7IsS/X19YqNjVVQUJAKCgrsY5WVlSovL7cDVnx8vMrLy1VZWWnX5Ofny%2Bl0KjY21q45uo2mmri4OAUFBSk4OFixsbHNagoKCux%2BAAAAjuWzK1hPPvmkhgwZoqioKO3Zs0c5OTn6%2BuuvlZeXJ5fLpQcffFDjxo1Tx44d1aFDB40fP149evTQzTffLOnIjejdu3dXSkqKXnjhBf3yyy8aP3680tLS7E8SpKena9asWcrMzFRaWpqKior05ptv6oMPPrDHkZmZqZSUFMXFxSk%2BPl5vvPGGtmzZovT09FaZFwAA4Pt8NmBt375dKSkpqqyslMvlUs%2BePZWXl6dBgwZJkl566SUFBgbqnnvu0f79%2B3XTTTdp7ty5CggIkCQFBATos88%2B08iRI9WvXz%2B1bdtWw4cP19SpU%2B0%2BoqOjtWjRIj366KN65ZVX5PF4NGPGDN155512zbBhw7Rr1y5NmjRJlZWViomJ0aJFi9SlS5ezOyEAAMBv%2BNVzsPwVz8E6gudgAQDOJp6DBQAAcA4hYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYYGtPQDAV8VNyGvtIZyWkmcHt/YQgNPmb//OcOaca%2B9hPrmClZ2drWuvvVbt27dXeHi4br/9dm3YsMGrZsCAAXI4HF7bvffe61VTU1OjlJQUuVwuuVwupaSkaPfu3V41a9asUf/%2B/dW2bVtdcsklmjRpkizL8qr56KOP1L17dzmdTnXv3l25ubln5sQBAMA5wScDVmFhoUaNGqXi4mIVFBTo4MGDSkxM1L59%2B7zq0tLSVFlZaW%2Bvv/661/Hhw4errKxMeXl5ysvLU1lZmVJSUuzjdXV1GjRokDwej1atWqWZM2dq6tSpmjZtml1TVFSkYcOGKSUlRd9%2B%2B61SUlJ0zz33aMWKFWd2EgAAgN/yyUuEeXneS8Zvv/22wsPDVVpaqhtuuMHef%2BGFF8rtdrfYxvr165WXl6fi4mL16dNHkjRnzhzFx8drw4YN6tq1q%2BbPn68DBw5o7ty5cjqdiomJ0Q8//KBp06YpMzNTDodD06dP16BBg5SVlSVJysrKUmFhoaZPn64PPvjgDM0AAADwZz65gnWs2tpaSVKHDh289s%2BfP19hYWG6%2BuqrNX78eO3Zs8c%2BVlRUJJfLZYcrSerbt69cLpeWL19u1/Tv319Op9OuSUpK0rZt27R582a7JjEx0avfpKQku42W1NfXq66uzmsDAADnD59cwTqaZVnKzMzUddddp5iYGHv/fffdp%2BjoaLndbpWXlysrK0vffvutCgoKJElVVVUKDw9v1l54eLiqqqrsmksvvdTreEREhH0sOjpaVVVV9r6ja5raaEl2draeeeaZX3W%2BAADA//l8wBo9erS%2B%2B%2B47LVu2zGt/Wlqa/XNMTIyuuOIKxcXF6ZtvvlHv3r0lSQ6Ho1l7lmV57T%2B2pukG95PVtNR2k6ysLGVmZtqv6%2BrqFBUVddx6AABwbvHpgDVmzBgtXLhQS5YsUefOnU9Y27t3bwUFBWnjxo3q3bu33G63tm/f3qxux44d9oqU2%2B1uthJVXV0tSSetOXZV62hOp9PrsiMAADi/%2BOQ9WJZlafTo0fr444/15ZdfKjo6%2BqS/s3btWjU2NioyMlKSFB8fr9raWq1cudKuWbFihWpra5WQkGDXLFmyRA0NDXZNfn6%2BPB6PfekwPj7evux4dE1TGwAAAMfyyYA1atQozZs3T%2B%2B//77at2%2BvqqoqVVVVaf/%2B/ZKkH3/8UZMmTVJJSYk2b96sRYsW6e6779Y111yjfv36SZK6deumwYMHKy0tTcXFxSouLlZaWpqSk5PVtWtXSUce4%2BB0OpWamqry8nLl5uZq8uTJ9icIJemRRx5Rfn6%2BnnvuOX3//fd67rnntHjxYmVkZLTO5AAAAJ/nkwFr9uzZqq2t1YABAxQZGWlvCxYskCQFBwfr73//u5KSktS1a1eNHTtWiYmJWrx4sQICAux25s%2Bfrx49eigxMVGJiYnq2bOn3nvvPfu4y%2BVSQUGBtm7dqri4OI0cOVKZmZle908lJCQoJydHb7/9tnr27Km5c%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%2Brr76q6OhotWnTRrGxsVq6dKn5kwYAAOeEwNYewPEUFhZq1KhRuvbaa3Xw4EFNmDBBiYmJWrdundq1aydJysjI0KeffqqcnBx17NhR48aNU3JyskpLSxUQEKBDhw7p1ltvVadOnbRs2TLt2rVLI0aMkGVZmjlzpiRp06ZNuuWWW5SWlqZ58%2BbpH//4h0aOHKlOnTrpzjvvlCQtWLBAGRkZevXVV9WvXz%2B9/vrrGjJkiNatW6ff/OY3rTZHAM6OuAl5rT0EAH7GYVmW1dqDOBU7duxQeHi4CgsLdcMNN6i2tladOnXSe%2B%2B9p2HDhkmStm3bpqioKC1atEhJSUn6/PPPlZycrIqKCnk8HklSTk6OUlNTVV1drZCQED3%2B%2BONauHCh1q9fb/eVnp6ub7/9VkVFRZKkPn36qHfv3po9e7Zd061bN91%2B%2B%2B3Kzs4%2B6djr6urkcrlUW1urkJAQk9PiV2/8Jc8Obu0hnBZ/mlvJ/%2BbXn/jb/wuAPzoT72Fn8u/vyfjsJcJj1dbWSpI6dOggSSotLVVjY6MSExPtGo/Ho5iYGC1fvlySVFRUpJiYGDtcSVJSUpLq6%2BtVWlpq1xzdRlNNSUmJGhsb1dDQoNLS0mY1iYmJdj8AAABH89lLhEezLEuZmZm67rrrFBMTI0mqqqpScHCwQkNDvWojIiJUVVVl10RERHgdDw0NVXBw8AlrIiIidPDgQe3cuVOWZenQoUMt1jS1caz6%2BnrV19fbr%2Bvq6n7FWQMAAH/lFytYo0eP1nfffacPPvjgpLWWZcnhcNivj/75VGuarpqerKaltqUjN%2Bi7XC57i4qKOum4AQDAucPnA9aYMWO0cOFCffXVV%2BrcubO93%2B12q6GhQTU1NV711dXV9mqT2%2B1utspUU1OjxsbGE9ZUV1crMDBQHTt2VFhYmAICAlqsOXZVq0lWVpZqa2vtraKi4tedPAAA8Es%2BG7Asy9Lo0aP18ccf68svv1R0dLTX8djYWAUFBamgoMDeV1lZqfLyciUkJEiS4uPjVV5ersrKSrsmPz9fTqdTsbGxds3RbTTVxMXFKSgoSMHBwYqNjW1WU1BQYPdzLKfTqZCQEK8NAACcP3z2HqxRo0bp/fff13/913%2Bpffv29gqSy%2BVS27Zt5XK59OCDD2rcuHHq2LGjOnTooPHjx6tHjx66%2BeabJR25Eb179%2B5KSUnRCy%2B8oF9%2B%2BUXjx49XWlqaHXrS09M1a9YsZWZmKi0tTUVFRXrzzTe9LkdmZmYqJSVFcXFxio%2BP1xtvvKEtW7YoPT397E8MAADweT4bsJoeiTBgwACv/W%2B//bZSU1MlSS%2B99JICAwN1zz33aP/%2B/brppps0d%2B5cBQQESJICAgL02WefaeTIkerXr5/atm2r4cOHa%2BrUqXZ70dHRWrRokR599FG98sor8ng8mjFjhv0MLEkaNmyYdu3apUmTJqmyslIxMTFatGiRunTpcmYnAQAA%2BCXjz8GaN2%2Be7rrrLrVp08Zks36N52Ad4W/PafKnuZX8b379ib/9vwD4I56DdRKZmZlyu9166KGHtHLlStPNAwAA%2BDzjAWvbtm166623VFlZqeuuu05XX321XnzxRe3YscN0VwAAAD7JeMAKDAzUHXfcoYULF2rLli0aMWKE3nrrLXXu3Fl33HGHPvvsM/nJt/MAAAD8Kmf0MQ1ut1s33XSTBgwYIIfDoZKSEg0fPlxXXHGFli5deia7BgAAaDVnJGDt3LlT06dPV69evdSvXz9VV1frk08%2B0T//%2BU/9/PPPSk5O1h//%2BMcz0TUAAECrM/6Yht///vdatGiRoqOj9ec//1kjRoxQp06d7OMXXXSRHnvsMc2YMcN01wAAAD7BeMAKCQnR4sWLdf311x%2B3JjIyUhs3bjTdNQAAgE8wHrDeeeedk9Y4HA5dfvnlprsGAADwCcbvwXr00Uc1a9asZvtfeeUVjRs3znR3AAAAPsd4wPrb3/6mvn37NtsfHx%2BvBQsWmO4OAADA5xgPWDt37lRoaGiz/SEhIdq5c6fp7gAAAHyO8YB1%2BeWX64svvmi2/4svvlB0dLTp7gAAAHyO8ZvcMzIylJGRoV27dmngwIGSpL///e96/vnnNXXqVNPdAQAA%2BBzjASstLU0HDhzQ5MmT9fTTT0uSOnfurBkzZuhPf/qT6e4AAAB8jvGAJUljxozRmDFjVFlZqbZt2%2Briiy8%2BE90AAAD4pDMSsJpERkaeyeYBAAB8kvGb3Hfs2KEHHnhAv/nNb9SmTRsFBwd7bQAAAOc64ytYqamp%2BvHHH/Xv//7vioyMlMPhMN0FAACATzMesJYsWaIlS5bommuuMd00AACAXzB%2BibBz586sWgEAgPOa8YD10ksvKSsrS1u3bjXdNAAAgF8wfokwJSVFe/bsUZcuXRQSEqKgoCCv49XV1aa7BAAA8CnGA9aUKVNMNwkAAOBXjAesBx980HSTAAAAfsX4PViStHnzZk2cOFEpKSn2JcH8/HytX7/%2BTHQHAADgU4wHrKVLl%2Brqq69WYWGhPvzwQ%2B3du1eS9M033%2Bgvf/mL6e4AAAB8jvGA9fjjj2vixIn66quvvJ7cPnDgQBUXF5vuDgAAwOcYD1jfffed7rrrrmb7w8PDtWPHDtPdAQAA%2BBzjAeviiy9WVVVVs/1lZWW65JJLTHcHAADgc4wHrHvvvVdPPPGEduzYYT/RfcWKFRo/frzuv/9%2B090BAAD4HOMBa/LkyXK73YqMjNTevXvVvXt3JSQk6Nprr9VTTz1lujsAAACfY/w5WMHBwVqwYIF%2B%2BOEHffPNNzp8%2BLB69%2B6tq666ynRXAAAAPsl4wGpy5ZVX6sorrzxTzQMAAPgs4wHr3/7t3054/I033jDdJQAAgE8xHrAqKyu9Xjc2Nmrt2rXas2ePbrjhBtPdAQAA%2BBzjAevTTz9ttu/gwYN6%2BOGH1a1bN9PdAQAA%2BJwz8l2ExwoMDNT48eP1wgsvnI3uAAAAWtVZCViS9NNPP6mxsfFsdQcAANBqjF8ifOyxx7xeW5alyspKLVy4UPfdd5/p7gAAAHyO8RWsoqIir23lypU6cOCApkyZohkzZpxyO0uWLNFtt90mj8cjh8OhTz75xOt4amqqHA6H19a3b1%2Bvmvr6eo0ZM0ZhYWFq166dhg4dqq1bt3rVbNmyRbfddpvatWunsLAwjR07Vg0NDV41hYWFio2NVZs2bXTZZZfptddeO81ZAQAA5xPjK1hLly410s6%2BffvUq1cvPfDAA7rzzjtbrBk8eLDefvtt%2B3VwcLDX8YyMDH366afKyclRx44dNW7cOCUnJ6u0tFQBAQE6dOiQbr31VnXq1EnLli3Trl27NGLECFmWpZkzZ0qSNm3apFtuuUVpaWmaN2%2Be/vGPf2jkyJHq1KnTcccFAADOb2fsQaP/V0OGDNGQIUNOWON0OuV2u1s8VltbqzfffFPvvfeebr75ZknSvHnzFBUVpcWLFyspKUn5%2Bflat26dKioq5PF4JEkvvviiUlNT9eyzzyokJESvvfaafvOb32j69OmSpG7duqmkpERTp04lYMGnxE3Ia%2B0hAAD%2Bl/GAde2119pf8nwyK1eu/D/19fXXXys8PFwXX3yx%2Bvfvr2effVbh4eGSpNLSUjU2NioxMdGu93g8iomJ0fLly5WUlKSioiLFxMTY4UqSkpKSVF9fr9LSUt14440qKiryaqOp5s0331RjY6OCgoL%2BT%2BcAAADOPcYD1o033qjXX39dV155peLj4yVJxcXF2rBhgx566CE5nU4j/QwZMkR33323unTpok2bNumpp57SwIEDVVpaKqfTqaqqKgUHBys0NNTr9yIiIlRVVSVJqqqqUkREhNfx0NBQBQcHn7AmIiJCBw8e1M6dOxUZGdlsbPX19aqvr7df19XVGTlnAADgH4wHrN27d2vUqFGaPHmy1/4JEyZo%2B/bt%2Butf/2qkn2HDhtk/x8TEKC4uTl26dNFnn32mO%2B6447i/Z1mW1wpbS6ttJ6uxLOu4vytJ2dnZeuaZZ07tRAAAwDnH%2BKcIP/zwQz3wwAPN9qempupvf/ub6e5skZGR6tKlizZu3ChJcrvdamhoUE1NjVdddXW1vSLldrvtlaomNTU1amxsPGFNdXW1AgMD1bFjxxbHkpWVpdraWnurqKgwco4AAMA/GA9YTqdTy5cvb7Z/%2BfLlxi4PtmTXrl2qqKiwL9nFxsYqKChIBQUFdk1lZaXKy8uVkJAgSYqPj1d5ebnX9yfm5%2BfL6XQqNjbWrjm6jaaauLi4495/5XQ6FRIS4rUBAIDzh/FLhGPHjlV6erpWr15tP5equLhYc%2BbM0ZNPPnnK7ezdu1f//d//bb/etGmTysrK1KFDB3Xo0EETJ07UnXfeqcjISG3evFlPPvmkwsLC9Pvf/16S5HK59OCDD2rcuHHq2LGjOnTooPHjx6tHjx72pwoTExPVvXt3paSk6IUXXtAvv/yi8ePHKy0tzQ5F6enpmjVrljIzM5WWlqaioiK9%2Beab%2BuCDD0xNGQAAOMcYD1gTJkxQdHS0Xn75Zb311luSjjzaYM6cORo%2BfPgpt1NSUqIbb7zRfp2ZmSlJGjFihGbPnq01a9bo3Xff1e7duxUZGakbb7xRCxYsUPv27e3feemllxQYGKh77rlH%2B/fv10033aS5c%2BcqICBAkhQQEKDPPvtMI0eOVL9%2B/dS2bVsNHz5cU6dOtduIjo7WokWL9Oijj%2BqVV16Rx%2BPRjBkzeEQDAAA4LofVdMc2zpi6ujq5XC7V1tYav1zoT88%2BKnl2cGsP4bT409wCgL87E38jzuTf35M5I1/2XFdXp7lz5%2Bovf/mLfZP5t99%2B63WvEwAAwLnK%2BCXC8vJy3XzzzbrwwgtVUVGh1NRUhYaG6sMPP9TWrVv1zjvvmO4SAADApxhfwXr00Uc1fPhw/fjjj2rTpo29/9Zbb9WSJUtMdwcAAOBzjK9grVq1SrNnz272EM5LLrmES4QAAOC8YHwFKzg4WHv37m22f%2BPGjQoLCzPdHQAAgM8xHrCGDh2q//zP/9TBgwclHfk6mZ9//llPPPHECb/CBgAA4FxhPGC9%2BOKL2rZtm9xut/bv36%2BBAwfqsssuU5s2bZp9PyEAAMC5yPg9WC6XS8uXL1dBQYG%2B%2BeYbHT58WL1791ZSUtJxvxwZAADgXGI0YDU2NuqWW27Rq6%2B%2BqsTERCUmJppsHgAAwC8YvUQYFBSk1atXs1IFAADOa8bvwbr//vv19ttvm24WAADAbxi/B0uSZs2apcWLFysuLk7t2rXzOvb888%2BfiS4BAAB8hvGAVVpaqp49e0qSvvvuO69jXDoEAADnA2MB66efflJ0dLSWLl1qqkkAAAC/ZOwerCuuuEI7duywXw8bNkzbt2831TwAAIDfMBawLMvyer1o0SLt27fPVPMAAAB%2Bw/inCAEAAM53xgKWw%2BFodhM7N7UDAIDzkbGb3C3LUmpqqpxOpyTpwIEDSk9Pb/aYho8//thUlwAAAD7JWMAaMWKE1%2Bv777/fVNMAAAB%2BxVjA4untAAAAR3CTOwAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAw3w2YC1ZskS33XabPB6PHA6HPvnkE6/jlmVp4sSJ8ng8atu2rQYMGKC1a9d61dTU1CglJUUul0sul0spKSnavXu3V82aNWvUv39/tW3bVpdccokmTZoky7K8aj766CN1795dTqdT3bt3V25u7pk5aQAAcE7w2YC1b98%2B9erVS7NmzWrx%2BPPPP69p06Zp1qxZWrVqldxutwYNGqQ9e/bYNcOHD1dZWZny8vKUl5ensrIypaSk2Mfr6uo0aNAgeTwerVq1SjNnztTUqVM1bdo0u6aoqEjDhg1TSkqKvv32W6WkpOiee%2B7RihUrztzJAwAAv%2Bawjl2u8UEOh0O5ubm6/fbbJR1ZvfJ4PMrIyNDjjz8uSaqvr1dERISee%2B45PfTQQ1q/fr26d%2B%2Bu4uJi9enTR5JUXFys%2BPh4ff/99%2Bratatmz56trKwsbd%2B%2BXU6nU5I0ZcoUzZw5U1u3bpXD4dCwYcNUV1enzz//3B7P4MGDFRoaqg8%2B%2BOCUxl9XVyeXy6Xa2lqFhISYnBrFTcgz2h4AAK2h5NnBxts8k39/T8baOAGBAAARvklEQVRnV7BOZNOmTaqqqlJiYqK9z%2Bl0qn///lq%2BfLmkIytPLpfLDleS1LdvX7lcLq%2Ba/v372%2BFKkpKSkrRt2zZt3rzZrjm6n6aapjZaUl9fr7q6Oq8NAACcP/wyYFVVVUmSIiIivPZHRETYx6qqqhQeHt7sd8PDw71qWmrj6D6OV9N0vCXZ2dn2fV8ul0tRUVGnc3oAAMDP%2BWXAauJwOLxeW5blte/Y46dS03TF9GQ1LbXdJCsrS7W1tfZWUVFxCmcDAADOFYGtPYBfw%2B12SzqyuhQZGWnvr66utleb3G63tm/f3ux3d%2BzY4VVz7EpUdXW1JJ205thVraM5nU6vy44AAOD84pcrWNHR0XK73SooKLD3NTQ0qLCwUAkJCZKk%2BPh41dbWauXKlXbNihUrVFtb61WzZMkSNTQ02DX5%2BfnyeDy69NJL7Zqj%2B2mqaWoDAADgWD4bsPbu3auysjKVlZVJOnJje1lZmbZs2SKHw6GMjAxNnjxZubm5Ki8vV2pqqi688EINHz5cktStWzcNHjxYaWlpKi4uVnFxsdLS0pScnKyuXbtKOvIYB6fTqdTUVJWXlys3N1eTJ09WZmamfQnwkUceUX5%2Bvp577jl9//33eu6557R48WJlZGS0zsQAAACf57OXCEtKSnTjjTfarzMzMyVJI0aM0Ny5c/XYY49p//79GjlypGpqatSnTx/l5%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%2BW3AkqSrr75alZWV9rZmzRr72PPPP69p06Zp1qxZWrVqldxutwYNGqQ9e/bYNcOHD1dZWZny8vKUl5ensrIypaSk2Mfr6uo0aNAgeTwerVq1SjNnztTUqVM1bdq0s3qeAADAvwS29gD%2BLwIDA71WrZpYlqXp06drwoQJuuOOOyRJ77zzjiIiIvT%2B%2B%2B/roYce0vr165WXl6fi4mL16dNHkjRnzhzFx8drw4YN6tq1q%2BbPn68DBw5o7ty5cjqdiomJ0Q8//KBp06YpMzNTDofjrJ4vAADwD369grVx40Z5PB5FR0fr3nvv1U8//SRJ2rRpk6qqqpSYmGjXOp1O9e/fX8uXL5ckFRUVyeVy2eFKkvr27SuXy%2BVV079/fzmdTrsmKSlJ27Zt0%2BbNm487rvr6etXV1XltAADg/OG3AatPnz5699139cUXX2jOnDmqqqpSQkKCdu3apaqqKklSRESE1%2B9ERETYx6qqqhQeHt6s3fDwcK%2BaltpoOnY82dnZ9n1dLpdLUVFRv/5EAQCA3/HbgDVkyBDdeeed6tGjh26%2B%2BWZ99tlnko5cCmxy7CU8y7K89rV0ie9kNU03uJ/o8mBWVpZqa2vtraKi4jTODAAA%2BDu/DVjHateunXr06KGNGzfa92Udu8pUXV1tr0C53W5t3769WTs7duzwqmmpDan56tjRnE6nQkJCvDYAAHD%2BOGcCVn19vdavX6/IyEhFR0fL7XaroKDAPt7Q0KDCwkIlJCRIkuLj41VbW6uVK1faNStWrFBtba1XzZIlS9TQ0GDX5Ofny%2BPx6NJLLz07JwYAAPyO3was8ePHq7CwUJs2bdKKFSt01113qa6uTiNGjJDD4VBGRoYmT56s3NxclZeXKzU1VRdeeKGGDx8uSerWrZsGDx6stLQ0FRcXq7i4WGlpaUpOTlbXrl0lHXmMg9PpVGpqqsrLy5Wbm6vJkyfzCUIAAHBCfvuYhq1bt%2BoPf/iDdu7cqU6dOqlv374qLi5Wly5dJEmPPfaY9u/fr5EjR6qmpkZ9%2BvRRfn6%2B2rdvb7cxf/58jR071v604dChQzVr1iz7uMvlUkFBgUaNGqW4uDiFhoYqMzNTmZmZZ/dkAQCAX3FYPJb8jKurq5PL5VJtba3x%2B7HiJuQZbQ8AgNZQ8uxg422eyb%2B/J%2BO3lwgBAAB8FQELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwDpFr776qqKjo9WmTRvFxsZq6dKlrT0kAADgowhYp2DBggXKyMjQhAkTtHr1al1//fUaMmSItmzZ0tpDAwAAPoiAdQqmTZumBx98UH/%2B85/VrVs3TZ8%2BXVFRUZo9e3ZrDw0AAPigwNYegK9raGhQaWmpnnjiCa/9iYmJWr58eYu/U19fr/r6evt1bW2tJKmurs74%2BA7V7zPeJgAAZ9uZ%2BBvZ1KZlWcbbPhkC1kns3LlThw4dUkREhNf%2BiIgIVVVVtfg72dnZeuaZZ5rtj4qKOiNjBADA37lePHNt79mzRy6X68x10AIC1ilyOBxery3LaravSVZWljIzM%2B3Xhw8f1i%2B//KKOHTs2%2B526ujpFRUWpoqJCISEh5gd%2BjmG%2BTh9zdnqYr9PHnJ0e5uv0/do5syxLe/bskcfjOYOjaxkB6yTCwsIUEBDQbLWqurq62apWE6fTKafT6bXv4osvPmE/ISEh/EM7DczX6WPOTg/zdfqYs9PDfJ2%2BXzNnZ3vlqgk3uZ9EcHCwYmNjVVBQ4LW/oKBACQkJrTQqAADgy1jBOgWZmZlKSUlRXFyc4uPj9cYbb2jLli1KT09v7aEBAAAfFDBx4sSJrT0IXxcTE6OOHTtq8uTJmjp1qvbv36/33ntPvXr1MtJ%2BQECABgwYoMBA8u6pYL5OH3N2epiv08ecnR7m6/T525w5rNb47CIAAMA5jHuwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBqxW9%2Buqrio6OVps2bRQbG6ulS5e29pB8xpIlS3TbbbfJ4/HI4XDok08%2B8TpuWZYmTpwoj8ejtm3basCAAVq7dm0rjbb1ZWdn69prr1X79u0VHh6u22%2B/XRs2bPCqqa%2Bv15gxYxQWFqZ27dpp6NCh2rp1ayuNuHXNnj1bPXv2tB9aGB8fr88//9w%2BzlydXHZ2thwOhzIyMux9zJu3iRMnyuFweG1ut9s%2BzvtYcz///LPuv/9%2BdezYURdeeKH%2B5V/%2BRaWlpfZxf5ozAlYrWbBggTIyMjRhwgStXr1a119/vYYMGaItW7a09tB8wr59%2B9SrVy/NmjWrxePPP/%2B8pk2bplmzZmnVqlVyu90aNGiQ9uzZc5ZH6hsKCws1atQoFRcXq6CgQAcPHlRiYqL27fv/XwaekZGh3Nxc5eTkaNmyZdq7d6%2BSk5N16NChVhx56%2BjcubOmTJmikpISlZSUaODAgfrd735nv1EzVye2atUqvfHGG%2BrZs6fXfuatuauvvlqVlZX2tmbNGvsY72Peampq1K9fPwUFBenzzz/XunXr9OKLL3p9E4pfzZmFVvGv//qvVnp6ute%2Bq666ynriiSdaaUS%2BS5KVm5trvz58%2BLDldrutKVOm2PsOHDhguVwu67XXXmuNIfqc6upqS5JVWFhoWZZl7d692woKCrJycnLsmp9//tm64IILrLy8vNYapk8JDQ21/vrXvzJXJ7Fnzx7riiuusAoKCqz%2B/ftbjzzyiGVZ/D/Wkqefftrq1atXi8d4H2vu8ccft6677rrjHve3OWMFqxU0NDSotLRUiYmJXvsTExO1fPnyVhqV/9i0aZOqqqq85s/pdKp///7M3/%2Bqra2VJHXo0EGSVFpaqsbGRq8583g8iomJOe/n7NChQ8rJydG%2BffsUHx/PXJ3EqFGjdOutt%2Brmm2/22s%2B8tWzjxo3yeDyKjo7Wvffeq59%2B%2BkkS72MtWbhwoeLi4nT33XcrPDxc11xzjebMmWMf97c5I2C1gp07d%2BrQoUPNviw6IiKi2ZdKo7mmOWL%2BWmZZljIzM3XdddcpJiZG0pE5Cw4OVmhoqFft%2BTxna9as0UUXXSSn06n09HTl5uaqe/fuzNUJ5OTkqLS0VNnZ2c2OMW/N9enTR%2B%2B%2B%2B66%2B%2BOILzZkzR1VVVUpISNCuXbt4H2vBTz/9pNmzZ%2BuKK67QF198ofT0dI0dO1bvvvuuJP977/eP582foxwOh9dry7Ka7cPxMX8tGz16tL777jstW7bspLXn85x17dpVZWVl2r17tz766CONGDFChYWFx60/n%2BdKkioqKvTII48oPz9fbdq0OeXfO5/nbciQIfbPPXr0UHx8vC6//HK988476tu3ryTex452%2BPBhxcXFafLkyZKka665RmvXrtXs2bP1xz/%2B0a7zlzljBasVhIWFKSAgoFnirq6ubpbM0VzTp3CYv%2BbGjBmjhQsX6quvvlLnzp3t/W63Ww0NDaqpqfGqP5/nLDg4WL/97W8VFxen7Oxs9erVSy%2B//DJzdRylpaWqrq5WbGysAgMDFRgYqMLCQs2YMUOBgYGKiIhg3k6iXbt26tGjhzZu3Mj7WAsiIyPVvXt3r33dunWzP/zlb3NGwGoFwcHBio2NVUFBgdf%2BgoICJSQktNKo/Ed0dLTcbrfX/DU0NKiwsPC8nT/LsjR69Gh9/PHH%2BvLLLxUdHe11PDY2VkFBQV5zVllZqfLy8vN2zo5lWZbq6%2BuZq%2BO46aabtGbNGpWVldlbXFyc7rvvPvtn5u3E6uvrtX79ekVGRvI%2B1oJ%2B/fo1e7zMDz/8oC5dukjyw/f%2B1rq7/nyXk5NjBQUFWW%2B%2B%2Baa1bt06KyMjw2rXrp21efPm1h6aT9izZ4%2B1evVqa/Xq1ZYka9q0adbq1autf/7zn5ZlWdaUKVMsl8tlffzxx9aaNWusP/zhD1ZkZKRVV1fXyiNvHQ8//LDlcrmsr7/%2B2qqsrLS3//mf/7Fr0tPTrc6dO1uLFy%2B2vvnmG2vgwIFWr169rIMHD7biyFtHVlaWtWTJEmvTpk3Wd999Zz355JPWBRdcYOXn51uWxVydqqM/RWhZzNuxxo0bZ3399dfWTz/9ZBUXF1vJyclW%2B/bt7fd53se8rVy50goMDLSeffZZa%2BPGjdb8%2BfOtCy%2B80Jo3b55d409zRsBqRa%2B88orVpUsXKzg42Ordu7f9kXpY1ldffWVJaraNGDHCsqwjH9d9%2BumnLbfbbTmdTuuGG26w1qxZ07qDbkUtzZUk6%2B2337Zr9u/fb40ePdrq0KGD1bZtWys5OdnasmVL6w26Ff3pT3%2By/%2B116tTJuummm%2BxwZVnM1ak6NmAxb96GDRtmRUZGWkFBQZbH47HuuOMOa%2B3atfZx3sea%2B/TTT62YmBjL6XRaV111lfXGG294HfenOXNYlmW1ztoZAADAuYl7sAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGPb/ADRc9PJeZeJuAAAAAElFTkSuQmCC\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-225542972129920154\">\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">59</td>\n",
       "        <td class=\"number\">5100</td>\n",
       "        <td class=\"number\">2.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">16</td>\n",
       "        <td class=\"number\">5100</td>\n",
       "        <td class=\"number\">2.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">28</td>\n",
       "        <td class=\"number\">5100</td>\n",
       "        <td class=\"number\">2.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">26</td>\n",
       "        <td class=\"number\">5100</td>\n",
       "        <td class=\"number\">2.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">25</td>\n",
       "        <td class=\"number\">5100</td>\n",
       "        <td class=\"number\">2.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">24</td>\n",
       "        <td class=\"number\">5100</td>\n",
       "        <td class=\"number\">2.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">22</td>\n",
       "        <td class=\"number\">5100</td>\n",
       "        <td class=\"number\">2.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">21</td>\n",
       "        <td class=\"number\">5100</td>\n",
       "        <td class=\"number\">2.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">19</td>\n",
       "        <td class=\"number\">5100</td>\n",
       "        <td class=\"number\">2.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">18</td>\n",
       "        <td class=\"number\">5100</td>\n",
       "        <td class=\"number\">2.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"other\">\n",
       "        <td class=\"fillremaining\">Other values (32)</td>\n",
       "        <td class=\"number\">163200</td>\n",
       "        <td class=\"number\">76.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme-225542972129920154\">\n",
       "            <p class=\"h4\">Minimum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">5100</td>\n",
       "        <td class=\"number\">2.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">5100</td>\n",
       "        <td class=\"number\">2.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">5100</td>\n",
       "        <td class=\"number\">2.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">5</td>\n",
       "        <td class=\"number\">5100</td>\n",
       "        <td class=\"number\">2.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">6</td>\n",
       "        <td class=\"number\">5100</td>\n",
       "        <td class=\"number\">2.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "            <p class=\"h4\">Maximum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">55</td>\n",
       "        <td class=\"number\">5100</td>\n",
       "        <td class=\"number\">2.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">56</td>\n",
       "        <td class=\"number\">5100</td>\n",
       "        <td class=\"number\">2.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">57</td>\n",
       "        <td class=\"number\">5100</td>\n",
       "        <td class=\"number\">2.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">58</td>\n",
       "        <td class=\"number\">5100</td>\n",
       "        <td class=\"number\">2.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">59</td>\n",
       "        <td class=\"number\">5100</td>\n",
       "        <td class=\"number\">2.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "</div>\n",
       "    <div class=\"row headerrow highlight\">\n",
       "        <h1>Correlations</h1>\n",
       "    </div>\n",
       "    <div class=\"row variablerow\">\n",
       "    <img src=\"%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJzs3XlclXXe//H3IZHNBUdBXMMQclITFEVbnNzG1ERHTeauXCqtXMBMrZwWM0ztHprGpGXGTO/MEtduTSctNXOaBBd0TMNEU0lMQDNlC5Dz%2B8Of5%2B4MqFxecB0Ovp6Px3no%2BV4Ln/P1gefD%2B3udC5vdbrcLAAAAlvFwdQEAAAA3GhowAAAAi9GAAQAAWIwGDAAAwGI0YAAAABajAQMAALAYDRgAAIDFaMAAAAAsRgMGAABgsVquLgDA9fvhhx/Uq1evK2739PRUnTp1FBwcrHvuuUcPPfSQ6tSpY2GFAIDy2PhVRID7%2BnUDFhYWVqa5Ki4u1tmzZ3Xy5ElJUtOmTbV48WLdfPPNltcKAPg/NGCAG/t1A/b%2B%2B%2B8rKiqq3P2Sk5M1fvx45ebmKiIiQsuWLbOyTADAf%2BAaMOAGEBUVpaeeekqSlJqaqm%2B%2B%2BcbFFQHAjY0GDLhB9OnTx/H3ffv2ubASAAAX4QM3iLp16zr%2BnpeX57Rt586dWrJkifbs2aNz586pXr16Cg8P14gRI9StW7dyz3f%2B/HktW7ZM27ZtU3p6unJzc%2BXj46OWLVuqR48eGjlypOrXr%2B90zK233ipJ%2BuqrrzR37lxt3rxZHh4eatu2rd577z3VqlVL%2B/bt0%2BLFi3Xw4EGdOnVKXl5eatWqlXr37q0HHnig3A8RFBYWatmyZdqwYYPS09NVXFysxo0b64477tAjjzyi4OBgp/2Tk5M1cuRIdejQQUuXLtWSJUv08ccf6/jx4/L09FTbtm01YsQI9e7d%2B3qmGgCuiQYMuEEcP37c8fegoCDH3xMSErRgwQJJUv369RUWFqasrCxt3rxZmzdv1pgxYzRt2jSncx07dkyjR4/WqVOnVKtWLbVs2VLNmjXTyZMndeDAAR04cEDr16/XqlWr5OfnV6aW2NhYpaamKiwsTGfPnlVAQIBq1aqlTZs2afLkySopKVGDBg3UunVr5eXl6d///rf27duntWvXatmyZU5N2I8//qiHH35YR48elSQFBwfLz89PR44cUVJSkj7%2B%2BGPNnTtX/fv3L1NHcXGxxo4dq6%2B//loNGjRQSEiIvv/%2Be%2B3YsUM7duzQSy%2B9pP/6r/8yN/EAUB47ALeVkZFhDwsLs4eFhdl37Nhx1X2ffvppe1hYmL1t27b27Oxsu91ut3/00Uf2sLAwe2RkpP1///d/HfuWlpba169fbw8PD7eHhYXZly9f7nSuhx56yB4WFmYfPny4/fTp007HrVmzxt6mTRt7WFiY/YMPPnA67nKt7dq1s6ekpNjtdrv94sWL9p9%2B%2Bsl%2B8eJF%2B5133mkPCwuzL1iwwF5SUuI47ptvvrF37drVHhYWZv/b3/7mGC8pKbEPGjTIHhYWZu/bt6/922%2B/dWy7cOGC/bnnnnO85r179zq27dixw1FLeHi4fe3atY5t58%2Bft48aNcoeFhZm79Kli724uPiq8woA14NrwIAarLCwUAcPHtSMGTP08ccfS5JGjx6tRo0aqaioSPPnz5ckzZ49W9HR0Y7jbDab%2Bvfv70i%2B5s%2Bfr5KSEknSmTNndPjwYUlSfHy8AgMDnY4bPHiwunTpIkk6dOhQuXX169dPnTt3liR5eHjI399fZ8%2BeVXZ2tiRp%2BPDhuummmxz7t23bVpMnT1bv3r3l7%2B/vGP/000/17bffysvLSwsWLFCbNm0c2%2BrUqaNZs2bp7rvvVnFxsV5//fVya4mLi9PAgQMdz%2BvWret43efOndP3339/hdkFgOvHEiRQQ4wcOfKa%2B9x///2aNGmSpEufhszJyZGfn98Vb%2BYaHR2t%2BPh4nT59WgcPHtTtt9%2Buhg0baseOHSosLJS3t3eZYy5evOhYIiwsLCz3vJ06dSoz1qBBA9WvX18///yzpk6dqnHjxqlDhw7y8Lj0c%2BLw4cM1fPhwp2O2bNkiSerZs6datGhR7td6%2BOGHtX37dqWkpOjChQtO18JJUo8ePcocExIS4vj7%2BfPnyz0vAJhBAwbUEP95I1abzSYvLy/5%2B/vr1ltvVe/evdW6dWvH9sspVnFxsR588MErnvemm25SaWmpjh49qttvv90x7u3trVOnTmnfvn06ceKEMjIydOTIEX377bfKz8%2BXJJWWlpZ7zoCAgHK/ztSpU/XCCy9o27Zt2rZtm%2BrXr6%2BoqCjdeeeduueee5yuXZPkSKfatm17xfovb7t48aKOHz%2Budu3aOW1v3LhxmWN%2B3VhevHjxiucGgOtFAwbUEM8///wVb8RangsXLkiSioqKtGfPnmvu/%2Bsk6OjRo/rv//5vbdu2zanJqlOnjiIjI5WVlaW0tLQrnqu85Ey6lHLdfPPNWrRokf71r3/p559/1qZNm7Rp0ybZbDbdc889eumllxyNWG5uriSVSbV%2B7ddN6X9%2B%2BlO69OuarsbOvaoBVAEaMOAG5ePjI%2BlSQrR69eoKH3fmzBk99NBDOnPmjJo2barhw4frtttu0y233KLmzZvLZrNpypQpV23AriYqKkpRUVEqLCzUrl27tHPnTm3fvl0HDhzQ1q1bderUKX388cey2WyOT1hebibL8%2BvGsbxPZAKAK9CAATeoVq1aSbp0S4mSkhLVqlX2vwO73a7k5GQFBQWpadOmql27tlatWqUzZ87I399fq1at0m9%2B85syx50%2BfdpwPUVFRcrIyFBubq46dOggb29v3XXXXbrrrrs0efJkrV%2B/Xk899ZTS0tJ06NAhtWnTRrfccosOHjyoAwcOXPG8%2B/fvl3RpSbZly5aG6wKAqsCnIIEbVOfOnVW3bl3l5eVdMQFbt26dRo0apX79%2BunHH3%2BUdOn3T0qXfrF3ec1Xenq69u7dK8nY9VNffvml%2Bvfvr8cee0xFRUVltt9xxx2Ov18%2B7%2BUL6Lds2aKMjIxyz/v%2B%2B%2B9LksLDw1WvXr0K1wMAVYkGDLhB%2Bfr66rHHHpMkvfLKK1q1apXT9Vyff/65ZsyYIenSbSMup0e33HKLJCktLU0bN2507G%2B32/Xll19qzJgxKi4uliQVFBRUuJ7u3burQYMGOnfunJ555hmdO3fOsS0vL0%2BvvvqqJKlJkyYKDQ2VJN1777269dZb9csvv2js2LFOy565ubl64YUX9M9//lO1atXS1KlTKz45AFDFWIIEbmBjx45VRkaGli9frj/96U/685//rObNm%2Bv06dPKysqSJHXs2FGzZs1yHDNs2DB9%2BOGHOn78uOLi4tSsWTM1aNBAp06d0pkzZ%2BTp6akuXbooJSXF0FJk7dq1NW/ePD366KPasGGDNm/erJYtW8rDw0MZGRnKz8%2BXj4%2BP5s6dq9q1a0uSatWqpbfeektjx47V0aNHNWjQIKc74V%2B%2BVcbMmTMVGRlZuZMHACbQgAE3MJvNpvj4ePXt21fLli3T3r17HTc2DQ8P13333aeYmBhHwyNd%2BlThypUrtWDBAm3dulU//PCDcnJyFBQUpHvuuUejRo2Sr6%2BvevfurbS0NGVmZqpp06YVqicqKkorVqzQokWLtHv3bh07dky1atVSUFCQ7rrrLj3yyCNlztW8eXOtWrVKH330kT799FMdOXJEP/74o5o0aaK7775bDz74YJnfBQkArmaz8xlrAAAAS3ENGAAAgMVowAAAACxGAwYAAGAxGjAAAFCjnD17Vn369FFycvIV99m2bZsGDhyo8PBw9evXT1u3bnXavmDBAnXv3l3h4eEaMWKEjh49Wqk10oABAIAaY/fu3YqJidGJEyeuuM%2BxY8cUGxurSZMmadeuXYqNjdWTTz7puHXOmjVrtGTJEi1cuFDJyclq27at4uLiKvV3w9KAAQCAGmHNmjWaOnWqJk%2BefM39IiMj1bt3b9WqVUv9%2B/dX586dlZSUJElavny5HnjgAYWGhsrLy0tTpkxRZmbmVRM1o2jAAABAtZCVlaUDBw44PS7fFLoi7rrrLn322Wfq37//VfdLT09XWFiY01jr1q0dv03jP7d7enoqODjY6bdtmMWNWCvCZnN1BbiWVq2kw4el0FDp%2B%2B9dXQ2u5le/7giASa58f6qCr530xhtKTEx0Gps4caJiY2MrdHxAQECF9svLy5OPj4/TmLe3t/Lz8yu0vTLQgKFm8PeXbrrp0p8AzLPZJO7TDYvFxMSoZ8%2BeTmMVbaqM8PHxUWFhodNYYWGh/Pz8KrS9MtCAAQAA4zwq/yqmwMBABQYGVvp5/1NYWJgOHDjgNJaenq527dpJkkJDQ3X48GH16NFDklRcXKxjx46VWbY0g2vAAADADSU6OlopKSnasGGDSkpKtGHDBqWkpGjQoEGSpKFDh%2BqDDz5QWlqafvnlF7322mtq1KiRIiMjK60GEjAAAGBcFSRgVSkiIkIzZ85UdHS0QkJC9OabbyohIUHPPfecmjVrpvnz56tVq1aSpGHDhunChQuaMGGCzp49q/bt2%2Btvf/ubPD09K60efhl3RXARfvUXESHt2SN17Cilprq6GlwNF%2BG7B64Bcw%2BufH%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%2B%2B8U76%2Bvo7tDRo00JYtWyqtVhowAABgXDVswJ588kk1btxY27dvV05OjsaNG6fFixdrzJgxTvu9%2B%2B67Ts9XrlypxMRETZw4UZK0f/9%2BNWvWrFIbrv9U/WYPAADAoOPHjyslJUXTpk2Tj4%2BPWrRoofHjx2vp0qVXPe7o0aOKj49XQkKCAgMDJV1qwNq1a1el9ZKAAQAA46ogAcvKylJ2drbTWEBAgKMxuprDhw/L399fjRs3doyFhIQoMzNT58%2BfV7169co9bubMmRo8eLAiIyMdY/v379fPP/%2Bs%2B%2B67Tzk5OWrfvr2eeeYZtW7d%2BjpfWVkkYAAAoFpISkrSkCFDnB5JSUkVOjYvL08%2BPj5OY5ef5%2Bfnl3vMrl27tG/fPsfS42X16tVTp06d9P777%2Bvzzz9XcHCwHn74YV24cOE6XlX5SMAAAIBxVZCAxcTEqGfPnk5jAQEBFTrW19dXBQUFTmOXn/v5%2BZV7TFJSkvr161fma7z22mtOz6dPn65Vq1Zp165d6tGjR4XquRYaMAAAYFwVNGCBgYEVWm4sT2hoqM6dO6ecnBw1atRIknTkyBEFBQWpbt26ZfYvKSnR5s2b9eabbzqN5%2Bbm6s0339RDDz2kZs2aSZIuXryokpISeXt7X1dt5WEJEgAAuL3g4GB16tRJs2fPVm5urjIyMvTWW29p2LBh5e5/6NAh/fLLL%2BrYsaPTeJ06dfSvf/1Lr776qi5cuKC8vDzFx8erefPmTteJmUUDBgAAjPPwqPyHSW%2B88YZKSkrUq1cvDR8%2BXHfffbfGjx8vSYqIiNDatWsd%2B2ZkZKh%2B/fry8vIqc5633npLpaWl6t27t%2B6%2B%2B25lZ2drwYIF8vT0NF3jZTa73W6vtLPVVDabqyvAtURESHv2SB07Sqmprq4GV1Na6uoKUBE2m8TbQ/XnyvenPn0q/5yffVb556ymuAYMAAAYVw1vxOpOaMAAAIBxNGCmMHsAAAAWIwEDAADGkYCZwuwBAABYjAQMAAAYRwJmCg0YAAAwjgbMFGYPAADAYiRgAADAOBIwU5g9AAAAi5GAAQAA40jATKEBAwAAxtGAmcLsAQAAWIwEDAAAGEcCZgqzBwAAYDESMAAAYBwJmCk0YAAAwDgaMFOYPQAAAIuRgAEAAONIwExh9gAAACxGAgYAAIwjATOFBgwAABhHA2YKswcAAGAxEjAAAGAcCZgpzB4AAIDFSMAAAIBxJGCm0IABAADjaMBMYfYAAAAsRgIGAACMIwEzhQYMAAAYRwNmCrMHAABgMRIwAABgHAmYKcweAACAxUjAAACAcSRgptCAAQAA42jATGH2AAAALEYCBgAAjCMBM4XZAwAAsBgJGAAAMI4EzBQaMAAAYBwNmCnMHgAAgMVIwAAAgHEkYKYwewAAABYz3YAlJyfr1ltvrYxaDFu7dq0GDBhwxe3PPvusnn32WQsrAgDgBuHhUfkPk86cOaPx48crMjJSUVFReuWVV1RSUlLuvmPGjFH79u0VERHheHz55ZeSpIsXL%2BrVV1/VHXfcoYiICI0bN05ZWVmm6/s1t07AoqOjtX79eleXAQDAjacaNmBPPvmkfH19tX37dq1cuVJff/21Fi9eXO6%2B33zzjRYuXKjU1FTHo3v37pKkt99%2BW1999ZVWrVql7du3y9vbW88//7zp%2Bn7N0KudP3%2B%2Bfve736lLly4aOnSoNm/e7Ni2cOFC9enTR%2BHh4YqLi1Nubq5j24oVKzRgwAB17NhRAwcO1Nq1ax3bRowYoblz52rIkCEKDw/XkCFDtGvXrgrVs3r1avXs2dPxfPPmzRowYIDCw8P1%2BOOP66effjLy8gAAgJs6fvy4UlJSNG3aNPn4%2BKhFixYaP368li5dWmbfjIwM/fzzz7rtttvKPdeKFSs0duxYNWnSRHXq1NFzzz2nL7/8UhkZGZVWb4Uvwt%2BxY4eSkpK0evVqBQQEKCkpSc8995xee%2B01SdLJkyf1ySef6Ny5c7r//vu1dOlSPf7441q9erXmzp2rxMREdenSRSkpKZo4caJ8fHzUp08fSVJSUpLefvttdezYUQsXLtS4ceO0adMmNWjQoMIv5OjRo5o0aZJmz56t/v3764svvlBcXJyio6MNTUhWVpays7OdxgJatVKgv7%2Bh88Bibdo4/wkAqFpVcBF%2Bue/BAQEKDAy85rGHDx%2BWv7%2B/Gjdu7BgLCQlRZmamzp8/r3r16jnG9%2B/fLz8/P02ePFn79%2B9Xo0aNNHr0aA0bNkwXLlzQjz/%2BqLCwMMf%2BjRo1Uv369XXo0CG1aNGiEl6pgQbMy8tLP//8s5YvX64ePXro/vvvV0xMjFJSUiRJsbGx8vLyUuPGjdW5c2edOHFCkrRq1SrFxMSoW7dukqRu3bopJiZGy5YtczRgQ4cOVdeuXSVJTzzxhD766CNt3bpVQ4YMqfAL2bBhg9q1a%2BdouHr37q0ePXpU%2BPjLkpKSlJiY6DQ2cdIkxU6aZPhccIEPP3R1BUDNYbO5ugLcYMp9D544UbGxsdc8Ni8vTz4%2BPk5jl5/n5%2Bc7NWBFRUUKDw/X5MmTFRoaquTkZMXGxsrPz08RERGSJF9fX6dzeXt7Ky8v77peV3kq3IBFRERo/vz5WrJkid599115e3trxIgR6tixoyQ5pVWenp66ePGiJCknJ6dMt9i8eXNt2bLF8Tw4ONjxd5vNpqCgoDId8LWcPn1aTZs2dRpr2bKl4WXImJgYp2VNSQoYOFD6n/8xdB5YrE2bS83XAw9IaWmurgZXs3u3qytARdhskt3u6ipwLa5skqsgASv3PTggoELH%2Bvr6qqCgwGns8nM/Pz%2Bn8cGDB2vw4MGO53fddZcGDx6sf/zjH7rjjjucjr2ssLCwzHnMqHADlpmZqYYNG2rhwoUqKirS119/rYkTJ2r%2B/PlXPa558%2BaONOyyjIwMpwk9ffq04%2B%2BlpaXKzMxUkyZNKlqaJCkoKEhffPGF09iPP/4oLy8vQ%2BcJDAwsG3V%2B/72hc8CF0tKk1FRXVwEANV8VNGDlvgdXUGhoqM6dO6ecnBw1atRIknTkyBEFBQWpbt26TvuuXLlSfn5%2B6tevn2OsqKhIXl5eql%2B/vho3bqz09HTHMmR2drbOnTvntCxpVoVnb//%2B/RozZozS0tJUu3ZtNWzYUJL03XffXfW4YcOGKSkpSV9//bUuXrzouJZs6NChjn1WrFihb775RkVFRXrzzTdlt9sNLx9GR0fru%2B%2B%2B0/Lly1VSUqJ//vOf%2BuyzzwydAwAAuKfg4GB16tRJs2fPVm5urjIyMvTWW29p2LBhZfbNzc1VfHy8Dh48qNLSUn3xxRf65JNPFBMTI0kaMmSI3n77bWVkZCg3N1ezZ89Wly5d1LJly0qrt8IJWN%2B%2BfXXs2DGNGzdOP/30kxo2bKg//elPuuWWW656XL9%2B/ZSbm6tZs2YpMzNTjRs31tNPP%2B0U/XXp0kUvv/yy0tPTddttt%2Bm9994r061eS4sWLfTOO%2B9o7ty5euWVV9S2bVvHNWYAAKCSVcM74b/xxht6%2BeWX1atXL3l4eGjw4MEaP368pEuXUs2cOVPR0dEaNWqU8vPzNXHiRJ05c0YtWrTQq6%2B%2BqsjISEnShAkTVFJSogcffFB5eXmKiorSX//610qt1Wa3u3aRf8SIEerSpUuFLrBzGS5Erf4iIqQ9e6SOHVmCrO5KS11dASqCa8Dcgyvfn155pfLP%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%2BKEkqLS1Vp06dZLfbZbPZHMd89dVX8vX1rZRaacAAAIBx1bABe/LJJ9W4cWNt375dOTk5GjdunBYvXqwxY8Y47ff555/rL3/5ixYsWKAOHTpo7969euyxx9SoUSP17dtX6enpKi4u1p49e1S7du0qqbX6zR4AAIBBx48fV0pKiqZNmyYfHx%2B1aNFC48eP19KlS8vse/r0aY0dO1bh4eGy2WyKiIhQVFSUdu7cKUnav3%2B/br311iprviQSMAAAcD2qIAHLyspSdna201hAQIACAwOveezhw4fl7%2B%2Bvxo0bO8ZCQkKUmZmp8%2BfPq169eo7xy0uNl505c0Y7d%2B7U9OnTJV1qwH755RcNHTpUJ0%2BeVEhIiKZMmaKOHTuaeXlOaMAAAEC1kJSUpMTERKexiRMnKjY29prH5uXlycfHx2ns8vP8/HynBuzXsrOz9fjjj6tdu3a67777JEne3t66/fbbNWnSJNWvX19Lly7Vo48%2BqrVr16pFixbX89LKoAEDAADGVUECFhMTo549ezqNBQQEVOhYX19fFRQUOI1dfu7n51fuMXv37tWkSZMUGRmpOXPmOC7Wf/bZZ532e/TRR7V69Wpt27ZNDz30UIXquRYaMAAAYFwVNGCBgYEVWm4sT2hoqM6dO6ecnBw1atRIknTkyBEFBQWpbt26ZfZfuXKlZs2apbi4OD3yyCNO215//XX17dtXt912m2OsqKhIXl5e11VbebgIHwAAuL3g4GB16tRJs2fPVm5urjIyMvTWW29p2LBhZfbduHGjXnrpJc2fP79M8yVJ3333nV555RVlZ2erqKhIiYmJys3NVZ8%2BfSqtXhowAABgnIdH5T9MeuONN1RSUqJevXpp%2BPDhuvvuuzV%2B/HhJUkREhNauXStJSkxM1MWLFxUXF6eIiAjH48UXX5QkzZkzRy1bttSgQYMUFRWllJQULVq0SP7%2B/qZrvMxmt9vtlXa2mupXN2FDNRURIe3ZI3XsKKWmuroaXE1pqasrQEXYbBJvD9WfK9%2Bfvvqq8s95552Vf85qimvAAACAcdXwRqzuhAYMAAAYRwNmCrMHAABgMRIwAABgHAmYKcweAACAxUjAAACAcSRgptCAAQAA42jATGH2AAAALEYCBgAAjCMBM4UGDAAAGEcDZgqzBwAAYDESMAAAYBwJmCnMHgAAgMVIwAAAgHEkYKbQgAEAAONowExh9gAAACxGAgYAAIwjATOF2QMAALAYCRgAADCOBMwUGjAAAGAcDZgpzB4AAIDFSMAAAIBxJGCmMHsAAAAWIwEDAADGkYCZQgMGAACMowEzhdkDAACwGAkYAAAwjgTMFGYPAADAYiRgAADAOBIwU2jAAACAcTRgpjB7AAAAFiMBAwAAxpGAmcLsAQAAWIwEDAAAGEcCZgoNGAAAMI4GzBRmDwAAwGIkYAAAwDgSMFOYPQAAAIuRgAEAAONIwEyhAQMAAMbRgJnC7AEAAFiMBAwAABhHAmYKswcAAGAxGjAAAGCch0flP0w6c%2BaMxo8fr8jISEVFRemVV15RSUlJuftu27ZNAwcOVHh4uPr166etW7c6bV%2BwYIG6d%2B%2Bu8PBwjRgxQkePHjVd36/RgAEAAOOqYQP25JNPytfXV9u3b9eQy6uyAAAgAElEQVTKlSv19ddfa/HixWX2O3bsmGJjYzVp0iTt2rVLsbGxevLJJ3X69GlJ0po1a7RkyRItXLhQycnJatu2reLi4mS3203XeBkNGAAAcHvHjx9XSkqKpk2bJh8fH7Vo0ULjx4/X0qVLy%2By7Zs0aRUZGqnfv3qpVq5b69%2B%2Bvzp07KykpSZK0fPlyPfDAAwoNDZWXl5emTJmizMxMJScnV1q9XIQPAACMq4KL8LOyspSdne00FhAQoMDAwGsee/jwYfn7%2B6tx48aOsZCQEGVmZur8%2BfOqV6%2BeYzw9PV1hYWFOx7du3VppaWmO7WPHjnVs8/T0VHBwsNLS0tS1a9frem3/iQasIkpLXV0BKmr3bldXgGvhk1PVX0SEtGeP1KmTlJrq6mpwNZW4JFYdJCUlKTEx0Wls4sSJio2NveaxeXl58vHxcRq7/Dw/P9%2BpAStvX29vb%2BXn51doe2WgAQMAAIbZZav0c8bExKhnz55OYwEBARU61tfXVwUFBU5jl5/7%2Bfk5jfv4%2BKiwsNBprLCw0LHftbZXBhowAABgWFUsDgUGBlZoubE8oaGhOnfunHJyctSoUSNJ0pEjRxQUFKS6des67RsWFqYDBw44jaWnp6tdu3aOcx0%2BfFg9evSQJBUXF%2BvYsWNlli3NYC0AAAC4veDgYHXq1EmzZ89Wbm6uMjIy9NZbb2nYsGFl9o2OjlZKSoo2bNigkpISbdiwQSkpKRo0aJAkaejQofrggw%2BUlpamX375Ra%2B99poaNWqkyMjISqvXZq/Mz1TWVEyRe7DZ%2BLdyB1wDVv1dvgasY0euAavuXPh/XnFx5Z/T09Pc8Tk5OXr55ZeVnJwsDw8PDR48WFOnTtVNN92kiIgIzZw5U9HR0ZKk7du3KyEhQSdOnFCzZs00bdo0/e53v5Mk2e12LVq0SEuXLtXZs2fVvn17zZw5U61atTL7Eh1owCqCKXIPNGDugQas%2BqMBcx80YG6La8AAAIBh3CDAHBowAABgGA2YOawFAAAAWIwEDAAAGEYCZg4NGAAAMIwGzByWIAEAACxGAgYAAAwjATOHBAwAAMBiJGAAAMAwEjBzaMAAAIBhNGDmsAQJAABgMRIwAABgGAmYOSRgAAAAFiMBAwAAhpGAmUMDBgAADKMBM4clSAAAAIuRgAEAAMNIwMwhAQMAALAYCRgAADCMBMwcGjAAAGAYDZg5LEECAABYjAQMAAAYRgJmDgkYAACAxUjAAACAYSRg5tCAAQAAw2jAzGEJEgAAwGIkYAAAwDASMHNIwAAAACxGAgYAAAwjATOHBgwAABhGA2YOS5AAAAAWIwEDAACGkYCZQwIGAABgMRIwAABgGAmYOTRgAADAMBowc1iCBAAAsBgJGAAAMIwEzBwSMAAAAIuRgAEAAMNIwMyhAQMAAIbRgJnDEiQAAIDFSMAAAIBhJGDmkIABAABYjAQMAAAY5m4JWH5%2BvuLj47VlyxaVlJSoV69emjFjhvz8/Mrdf%2BPGjXrrrbeUkZEhf39/DRkyROPHj5eHx6Xsql%2B/fsrMzHQ8l6SVK1cqJCSkQvXQgAEAAMPcrQGLj4/XqVOntHHjRl28eFFPPvmkEhISNGPGjDL7fvPNN3r66af117/%2BVb/73e/0/fffa%2BzYsfL19dUjjzyi3Nxcff/999q8ebOaNWt2XfWwBAkAAGq0goICrVu3TnFxcfL391fDhg01depUrV69WgUFBWX2P3nypP74xz%2BqR48e8vDwUEhIiPr06aOdO3dKutSg%2Bfv7X3fzJZGAAQCA61AVCVhWVpays7OdxgICAhQYGHjNYwsLC3X69OlytxUUFKi4uFhhYWGOsZCQEBUWFurYsWP67W9/67R/37591bdvX6dzf/HFFxo4cKAkaf/%2B/fLx8dFDDz2kw4cPq1mzZoqNjVWPHj0q/FppwAAAgGFV0YAlJSUpMTHRaWzixImKjY295rH79u3TyJEjy902adIkSZKvr69jzMfHR5KUl5d31fPm5uZq0qRJ8vb21ujRoyVJNptN7du311NPPaWmTZvq008/VWxsrD744AOFh4dfs1aJBgwAAFQTMTEx6tmzp9NYQEBAhY6NiorSoUOHyt128OBBzZs3TwUFBY6L7i8vPdapU%2BeK5zx69Kji4uLUsGFDvf/%2B%2B459x4wZ47RfdHS0PvnkE23cuJEGDAAAVJ2qSMACAwMrtNxoVKtWreTp6an09HR16NBBknTkyBF5enoqODi43GO2bdump556SsOHD9eUKVNUq9b/tUwLFy7Ubbfdpm7dujnGioqK5OXlVeGauAgfAADUaD4%2BPurXr58SEhJ09uxZnT17VgkJCbrvvvvk7e1dZv%2B9e/dqwoQJmj59up555hmn5kuSTp06pZkzZyojI0MlJSVauXKlUlNT9Yc//KHCNdnsdrvd9Cur6Zgi92Cz8W/lDjz4ua/ai4iQ9uyROnaUUlNdXQ2uxoX/5332WeWfs0%2Bfyj/nZbm5uXr11Ve1ZcsWFRcXq1evXnrhhRcc14UNGDBAAwcO1BNPPKEnnnhCX3zxheM6scs6deqkd999V0VFRUpISNA//vEPXbhwQa1bt9a0adMUFRVV4XpowCqCKXIPNGDugQas%2BqMBcx8u/D9v48bKP%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%2BxUfH6/U1FTHIyYmRpK0Zs0aLVmyRAsXLlRycrLatm2ruLg42e32CtdjqgFr2rSpUlNT1bRpU/30009mTlUpNQAAAGu4UwJWUFCgdevWKS4uTv7%2B/mrYsKGmTp2q1atXq6CgoMz%2BRUVF%2Bu6779SuXbtyz7d8%2BXI98MADCg0NlZeXl6ZMmaLMzEwlJydXuCZT14D98MMP6tWrl7p166Zdu3YpNTVVBw4c0DvvvKMTJ05o9uzZSk1Nla%2Bvr6KjozVhwgTVrl1bq1ev1sqVK9WhQwetWrVKHh4emjBhgry8vPT222/r/PnzGjBggF5%2B%2BeUK17B582Y1b95cR44c0UsvvaRvvvlGzZs3V1RUlJmXCAAA3EBhYaFOnz5d7raCggIVFxcrLCzMMRYSEqLCwkIdO3ZMv/3tb532T0tLU0lJid544w3t3r1bdevW1dChQzVmzBh5eHgoPT1dY8eOdezv6emp4OBgpaWlqWvXrhWqt1Iuwp81a5amT5%2BuLl26KDY2Vvn5%2BRo9erQGDBigefPm6ezZs4qLi1NpaammTJkiSdq9e7d%2B//vfa8eOHVq2bJlmzZqlfv36acOGDUpPT1dMTIwGDhyozp07V7iO4uJiPf744%2BrevbveffddnThxQmPHjpWHR8WDvqysLGVnZzuNBTRqpMDAwAqfA8BVRES4ugJcS5s2zn8C5aiKxKrc9%2BCAgAq9B%2B/bt08jR44sd9ukSZMkSb6%2Bvo4xHx8fSSr3OrALFy6oS5cuGjFihP7yl7/o22%2B/1YQJE%2BTh4aExY8YoLy/Pcfxl3t7eys/Pv2adl1XJpyC/%2BOILFRUV6amnnpLNZlOTJk00adIkxcXFORowX19fjRo1SjabTXfddZcuXryoRx99VD4%2BPmrfvr0CAwN18uRJQw1YamqqTp06paefflpeXl4KDQ3Vww8/rP/5n/%2Bp8DmSkpKUmJjoNDZxwgTFxsVV%2BBxwIZvN1RXgWvbscXUFqKgPP3R1BajGqqIBK/c9eOJExcbGXvPYqKgoHTp0qNxtBw8e1Lx581RQUCA/Pz9Jciw91qlTp8z%2Bd955p%2B68807H89tvv12jRo3Shg0bNGbMGPn4%2BKiwsNDpmMLCQse5K6JKGrCTJ0/q7NmzTs2T3W5XcXGxzpw5I0ny9/eX7f%2B/WV5OqOrVq%2BfY38PDQ6UG/3VPnz6tBg0ayNvb2zHWsmVLQ%2BeIiYkpc9F%2BQKNGkoEL6%2BAiNhv/Tu6gUydXV4BradPmUvP1wANSWpqrq8HV1LAfaMp9Dw4IMH3eVq1aydPTU%2Bnp6erQoYMk6ciRI46lw//0%2BeefKycnR3/84x8dY0VFRY7%2BIjQ0VIcPH1aPHj0kXVqBO3bsmNMS57VUSQMWFBSkli1b6tNPP3WM5ebm6syZM/rNb34jSY7mqzI1adJEZ8%2BeVV5enqML/fHHHw2dIzAwsGzUyZs6UHlSU11dASoqLY1/L1xRVSRg5b4HVwIfHx/169dPCQkJmjdvniQpISFB9913n1Noc5ndbtecOXN08803q2vXrtq7d6/ef/99TZ8%2BXZI0dOhQzZ8/X927d1erVq30%2Buuvq1GjRoqMjKxwTZV2H7DatWvrwoULkqQePXooLy9P7777roqKinT%2B/Hk988wzmjx5cpU0XpdFRESoVatWmjVrlgoKCnT8%2BHG99957Vfb1AACAe5gxY4aCg4M1cOBA3XvvvWrevLlefPFFx/YBAwbonXfekST16dNH06dP10svvaSIiAhNmzZNsbGxGjRokCRp2LBhGj16tCZMmKCuXbvq4MGD%2Btvf/iZPT88K11NpCdjgwYMdnz788MMPtXjxYs2dO1fvvvuuSktLFRUVpbfffruyvly5brrpJv3973/Xiy%2B%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%2Bfn5ldn3xRdf1Lp165zGCgsLdccdd2jhwoUqLS1Vp06dZLfbZbPZHPt89dVX8vX1rVA9LEECAIAaLz4%2BXqdOndLGjRu1adMmnTp1SgkJCeXu%2B/LLLys1NdXxmD9/vurVq6dnn31WkpSenq7i4mKlpKQ47VfR5kuiAQMAANehtLTyH1WloKBA69atU1xcnPz9/dWwYUNNnTpVq1evVkFBwVWPPXv2rKZOnarnnntOoaGhkqT9%2B/fr1ltvVe3ata%2B7JpYgAQCA2yssLNTp06fL3VZQUKDi4mKFhYU5xkJCQlRYWKhjx47pt7/97RXPm5CQoHbt2ik6Otoxtn//fv3yyy8aOnSoTp48qZCQEE2ZMkUdO3ascL00YAAAwLCqSKyysrKUnZ3tNBYQEKDAwMBrHrtv3z6NHDmy3G2TJk2SJKclQh8fH0lSXl7eFc%2BZkZGhtWvXasWKFU7j3t7euv322zVp0iTVr19fS5cu1aOPPqq1a9eqRYsW16xVogEDAADXoSoasKSkJCUmJjqNTZw4UbGxsdc8NioqSocOHSp328GDBzVv3jwVFBQ4Lrq/vPRYp06dK55z1apVioiIKJOQXb4W7LJHH31Uq1ev1rZt2/TQQw9ds1aJBgwAAFQTMTEx6tmzp9NYQECA6fO2atVKnp6eSk9PV4cOHSRJR44ckaenp4KDg6943KZNm/TII4%2BUGX/99dfVt29f3XbbbY6xoqIieXl5VbgmGjAAAGBYVSRggYGBFVpuNMrHx0f9%2BvVTQkKC5s2bJ%2BnStV333XefvL29yz3mp59%2B0pEjR9S5c%2Bcy27777jvt2rVLf/3rX1W/fn39/e9/V25urvr06VPhmvgUJAAAqPFmzJih4OBgDRw4UPfee6%2BaN2%2BuF1980bF9wIABeueddxzPf/jhB0lS48aNy5xrzpw5atmypQYNGqSoqCilpKRo0aJF8vf3r3A9Nrvdbjfxem4MTJF7sNn4t3IHHvzcV%2B1FREh79kgdO0qpqa6uBlfjwv/z7ryz8s/51VeVf87qiiVIAABgmLvdCb%2B64UdRAAAAi5GAAQAAw0jAzCEBAwAAsBgJGAAAMIwEzBwaMAAAYBgNmDksQQIAAFiMBAwAABhGAmYOCRgAAIDFSMAAAIBhJGDm0IABAADDaMDMYQkSAADAYiRgAADAMBIwc0jAAAAALEYCBgAADCMBM4cGDAAAGEYDZg5LkAAAABYjAQMAAIaRgJlDAgYAAGAxEjAAAGAYCZg5NGAAAMAwGjBzWIIEAACwGAkYAAAwjATMHBowAABgGA2YOSxBAgAAWIwEDAAAGEYCZg4JGAAAgMVIwAAAgGEkYObQgAEAAMNowMxhCRIAAMBiJGAAAMAwEjBzSMAAAAAsRgIGAAAMIwEzhwYMAAAYRgNmDkuQAAAAFiMBAwAAhpGAmUMCBgAAYDESMAAAYBgJmDk0YAAAwDAaMHNYggQAALAYCRgAADCMBMwcEjAAAACLkYABAADDSMDMIQEDAACGlZZW/sMKBQUFiomJ0erVq6%2B63759%2B3T//fcrIiJCPXv21IoVK5y2r1mzRn369FF4eLiGDBmi1NRUQ3XQgAEAgBvC4cOH9eCDD2rv3r1X3e/nn3/WY489psGDB2vnzp165ZVXNGfOHP373/%2BWJCUnJys%2BPl5z587Vzp07FR0drXHjxqmgoKDCtdCAAQAAw9wtAfv66681atQo/eEPf1DTpk2vuu%2BmTZvk7%2B%2BvBx98ULVq1VK3bt00cOBALV26VJK0YsUKDRgwQJ06dZKnp6dGjx6tBg0aaMOGDRWuh2vAAACA2yssLNTp06fL3RYQEKA2bdpo69at8vLy0qJFi656rsOHDyssLMxprHXr1lq5cqUkKT09XUOHDi2zPS0trcL10oABAADDqiKxysrKUnZ2ttNYQECAAgMDr3nsvn37NHLkyHK3vfnmm%2Brdu3eF68jLy5OPj4/TmLe3t/Lz8yu0vSJowCrCZnN1BbiGrKwsJSUlKSYmpkLfqHAhu93VFeAasrKylDR/vmI%2B/ZTvJ1xRVXwrz5%2BfpMTERKexiRMnKjY29prHRkVF6dChQ5VSh4%2BPjy5cuOA0VlhYKD8/P8f2wsLCMtsbNGhQ4a9BA4YaITs7W4mJierZsydvGIBJfD/BVWJiYtSzZ0%2BnsYCAAMvrCAsL01dffeU0lp6ertDQUElSaGioDh8%2BXGZ79%2B7dK/w1uAgfAABUC4GBgWrbtq3TwxU/BPTp00c5OTlavHixiouLtWPHDq1bt85x3dewYcO0bt067dixQ8XFxVq8eLHOnDmjPn36VPhr0IABAIAb3oABA/TOO%2B9Ikho0aKD33ntPn376qaKiovT888/r%2BeefV9euXSVJ3bp104wZM/TSSy%2BpS5cuWr9%2BvRYsWCB/f/8Kfz2WIAEAwA1ly5YtZcbWr1/v9Lx9%2B/ZatmzZFc8xaNAgDRo06LprIAFDjRAQEKCJEye65FoBoKbh%2Bwmoeja7nY8kAQAAWIkEDAAAwGI0YAAAABajAQMAALAYDRgAAIDFaMAAAAAsRgMGAABgMRowAAAAi9GAAQAAWIwGDAAAwGI0YAAAABbjl3HD7UyfPv2a%2B8yZM8eCSgD317NnT9lstqvus3nzZouqAW4cNGBwWz/99JO2b9%2BuHj16qEWLFjp9%2BrQ%2B%2B%2Bwz/f73v3d1aYDbiI2NlSQdOHBAmzdv1sMPP6yWLVvq1KlTWrRokXr16uXiCoGaiV/GDbf1xBNP6P7773d6g/jnP/%2Bpd955Rx988IELKwPcT3R0tF5//XWFhIQ4xo4fP67HHntMGzdudGFlQM3ENWBwW8nJyerRo4fTWLdu3XTgwAEXVQS4r4yMDLVs2dJprHHjxsrKynJRRUDNRgMGt9WsWTP94x//cBpbvXq1br75ZhdVBLivdu3a6dVXX1VRUZEkqaCgQPHx8erUqZOLKwNqJpYg4bY2b96sSZMm6fbbb1eTJk30ww8/6LvvvtM777yjqKgoV5cHuJWjR4/q8ccf16lTp9SgQQP99NNPatWqlf7%2B97%2BrSZMmri4PqHFowODWjh49qg0bNigrK0tBQUEaOHCgWrRo4eqyALdUUlKiPXv2OL6fOnbsKA8PFkqAqkADBgA3sB9//FFBQUHKzMy84j5Nmza1sCLgxkADBrczcOBArVu37qr3L%2BK%2BRUDFdOzYUXv27FGbNm3KfD/Z7XbZbDZ9%2B%2B23LqoOqLm4DxjczmOPPSbp/%2B5fBOD6rV%2B/XlLFfmi5nJYBMI8EDDXa5bQMgHmX0zIA5nF1JWq0H374wdUlADUGP68DlYcGDDXatX7HHYCK4/sJqDw0YAAAABajAQMAALAYDRgAAIDFaMAAAAAsRgOGGo1PbQGVp3bt2q4uAagxuA8Y3NrPP/%2BsrVu3KisrS02bNtU999yjOnXqOLbv379f7du3d2GFgPvYtWuXTp48WeYHl8GDB7uoIqDmogGD29q9e7fGjRsnHx8fx%2B%2Bys9vtWrRokUJDQ11dHuBWZsyYoZUrVyowMNDpdhM2m41f7QVUARowuK2hQ4eqT58%2BeuKJJyRdWm5MTExUSkqKlixZ4uLqAPfSuXNnLVq0SO3atXN1KcANgWvA4LaOHj2qMWPGOJ7bbDY98cQTOnjwoAurAtxT3bp1FRYW5uoygBsGDRjcVqtWrZSamuo0dvjwYbVu3dpFFQHua9y4cXruueeUlpamzMxMpweAylfL1QUA1ysqKkpPPPGEhg4dqptvvllZWVlasWKFunTposTERMd%2BEydOdGGVgHv45ZdftGHDBn3yySeOMbvdLpvNpm%2B//daFlQE1E9eAwW2NGDHimvvYbDa9//77FlQDuLc77rhDsbGxuuuuu%2BTh4bw40qxZMxdVBdRcNGAAAEVFRSk5OdnVZQA3DK4Bg1v7/PPPNXbsWPXv31%2BjRo3SunXrXF0S4JaGDBlCWgxYiAQMbmvdunWaOXOmYmJi1Lx5c504cULLly/Xs88%2Bq/vvv9/V5QFu5cEHH9Tu3bvl5%2Ben%2BvXrO90LjPuAAZWPBgxuKzo6Wn/605/UtWtXx9iOHTv08ssva8OGDS6sDHA/a9asueK2P/zhDxZWAtwYaMDgtiIjI7Vz506nn9RLS0sVGRmpPXv2uLAywL2dPXtWv/nNb1xdBlCjcQ0Y3FZQUJB27tzpNLZz5041bdrURRUB7qukpESvv/66OnXqpJ49eyojI0NDhw5Vdna2q0sDaiQaMLitUaNGacKECUpISFBSUpL%2B/Oc/a8KECXr44YddXRrgdubPn68dO3Zo3rx58vT0VMOGDRUUFKRZs2a5ujSgRmIJEm5t9erVWr16tXJyctSsWTPdf//9uvfee11dFuB2evbsqY8%2B%2BkiNGzdWly5dlJKSovPnz6tPnz7cngKoAtwJH25tyJAhGjJkiKvLANxefn6%2B47qvyz%2BXe3t7l7kpK4DKQQMGt5WXl6elS5cqIyNDJSUlTtvmzJnjoqoA9xQeHq7ExERNnjzZ8cGWJUuWqH379i6uDKiZWIKE24qLi9O%2BffsUGRmp2rVrO22jAQOMOXHihEaPHq2SkhKdOXNGN998s/Ly8rRo0SLdcsstri4PqHFowOC2IiIitHHjRgUGBrq6FKBGKCgo0NatW5WZmamgoCDdc889qlOnjqvLAmokFvfhtgICAtSgQQNXlwHUCP%2BvvTt2SS2Mwzj%2BHDgggrS4ZP4DbUqCi84O0hCk4tAkZ3EJnBUao1VE/Afc3QUnEWpwMbR0C0WHbJBAgsw2uZeo6d5z7uv9fqYD5x2e8eHld36nWCzK7/crnU7LcRydnp4qEAjo4uLC62jAXmIGDMbK5/O6ubnR5eWlDg4OvI4DGGc6narVakmSut2uarXab%2B9fX1/1%2BPjoRTRg71HAYJzj42NZlrX7UqvZbH45MxqN3I4FGOfo6EiTyUQvLy/abDZf1k34fD5dXV15lA7Yb8yAwTh3d3e75/f3d9m2rY%2BPD729vWk8HisSiSgej3uYEDDHYrHQ4eGhCoXCt0tX%2BbsE8OdRwGCsTqejSqWiXq%2Bner2uRqMhy7JULpeVy%2BW8jgcY4eTkRP1%2Bf3ez/KvtdivLsrhRBv4CCsE7bvMAAADsSURBVBiMlc1mlc1mlclklEwmdX19rWAwqFKppHa77XU8wAjz%2BVyhUEiz2ezbM%2BFw2MVEwP%2BBGTAY6%2BnpSblcTsPhUOv1WolEQrZt6/n52etogDFCoZAkShbgNtZQwFh%2Bv1/L5VKdTkexWEy2bevh4YHVFACAfx43YDDW%2Bfm5zs7OtFqtVK1WdX9/L8dxVCgUvI4GAMCPmAGD0W5vb%2BXz%2BRSNRjWfzzUYDJRKpbyOBQDAjyhgAAAALmMGDAAAwGUUMAAAAJdRwAAAAFxGAQMAAHAZBQwAAMBlFDAAAACXUcAAAABcRgEDAABw2SfM/12trKysdgAAAABJRU5ErkJggg%3D%3D\" class=\"center-img\">\n",
       "    <img src=\"%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJzs3XlYlXX%2B//HXQZHNBVNwNxyEzKUAFzLNEnUcM9HUojK1RSsVxMYsbbMil75fmqakssyyzCZcZzItTTNbpiAVHVNR0VQUY3NlE5Dz%2B6Mf59sZULm78T5gz8d1navO5154nw8XnLevz819bHa73S4AAABYxs3VBQAAAPzR0IABAABYjAYMAADAYjRgAAAAFqMBAwAAsBgNGAAAgMVowAAAACxGAwYAAGAxGjAAAACL1XV1AQAql5qaquXLl%2Bv7779XZmamzp07p6uuukpBQUG65ZZbNHLkSHl6erq6TADA72Djo4iAmue1117Tm2%2B%2BqbKyMtWvX19t27aVu7u7srOzlZGRIUlq0aKFXn/9dXXq1MnF1QIAjKIBA2qYFStW6Mknn5S3t7fmzJmjAQMGqE6dOo7tBw4c0JNPPqnt27ercePGWrt2ra666ioXVgwAMIprwIAaZv78%2BZKkxx9/XH/5y1%2Bcmi9JCgwM1JtvvqkmTZro5MmT%2BuCDD1xRJgDABBowoAY5c%2BaMjhw5Ikm6/vrrL7jfVVddpf79%2B0uS/vOf/1hSGwCg%2BnARPlCD1K37fz%2BSmzZtUseOHS%2B4b0xMjMaMGaMmTZo4xqZPn65Vq1ZpxowZuummm/TKK6/oxx9/VHFxsa6%2B%2Bmrdfvvtuuuuu%2BTh4VHpOX/88UctXrxY27Zt06lTp9SwYUOFhIRo9OjR6tmzZ6XHnDlzRh9//LE2b96stLQ05eXlycvLS23btlXfvn01ZswYNWrUyOmYa665RpL03Xffae7cudq4caPc3NzUqVMnvfvuu3r66ae1atUqvfjii%2BrevbvmzZunH374QWfPnlXr1q11xx136L777pPNZtP69ev1/vvva8%2BePSorK1OHDh00YcIE3XzzzRVqLSoq0ooVK7Rhwwbt3btXZ86cUb169dSyZUv17t1b999/v5o1a%2BZ0TEREhI4dO6a1a9cqNzdX77zzjnbs2KGCggK1bt1agwYN0oMPPigfH58Lfq8A4L9xDRhQw9x9993atm2bbDabhg4dqpEjRyosLKzCUmRlyhuw4cOHa926dSooKFBQUJBKS0t18OBBSVLXrl311ltvqUGDBk7HxsfHa8GCBZKkRo0aqXXr1srKylJ2drYkady4cZo2bZrTMYcOHdJ9992n48ePq27dumrbtq28vLx07NgxnTp1SpLUrl07rVixwqlBKW/AwsLClJKSouDgYJ04cULh4eF6%2BeWXnV7HZ599ptLSUgUGBio3N9dRz0MPPSSbzaa33npLDRs2VJs2bfTzzz%2BroKBANptNb7/9tvr06eP4midOnNDYsWO1b98%2B2Ww2tW3bVg0aNFBmZqbjnE2aNNHKlSvVvHlzx3HlDdj999%2BvRYsWqV69egoICNDp06f1yy%2B/SJJCQ0O1ZMmSKn2PAECSZAdQo%2BzatcseEhJiDw4OdjzCwsLs48ePt7/11lv27du328%2BfP1/psU888YTjmL59%2B9p3797t2LZt2zb7jTfeaA8ODrY/88wzTsf94x//sAcHB9u7detm/9e//uUYLysrs69Zs8ZRz9KlS52Ou/fee%2B3BwcH2O%2B%2B8056Zmel03KpVq%2BwdOnSwBwcH2z/88EOn48pr7Ny5sz05Odlut9vt58%2Bft588ebLC67j77rvtWVlZjn2mT59uDw4Otnfo0MF%2BzTXX2BcuXOiYjxMnTtiHDRtmDw4Ott97772Vzs2AAQPsP//8s9O2r7/%2B2n799dfbg4OD7XPnznXa1rdvX0ct06dPt585c8bxGj/88EPHti%2B%2B%2BKLS7wkAVIZrwIAapmPHjlq2bJm6du3qGMvLy9PmzZv18ssv684771Tv3r31yiuvqLCwsNJzuLm56Y033tC1117rGAsNDdVLL70kSVq2bJkyMzMlScXFxZo3b54kafbs2YqMjHQcY7PZdOuttzqSr3nz5qm0tFSSlJubq/3790uS4uLi5O/v73TcsGHD1KNHD0nS3r17K61z0KBB6t69u6NmX19fp%2B1169bV3/72N/n5%2BTn2eeihhyRJZWVlGjp0qB544AG5uf36q6xx48YaM2aMJGn37t2O85SWlmrLli2y2WyaMWOGAgICnL7OTTfdpFtvvVWStG/fvkpr7dChg2bPnu1IDm02m0aNGuVI87Zu3VrpcQBQGRowoAZq3769PvroI/3zn/9UdHS0QkND5e7u7tiem5ur%2BfPnKzIy0rEM9ls33HCDOnToUGG8d%2B/eat26tcrKyrRp0yZJUkpKinJycuTj46N%2B/fpVWk9kZKTc3NyUmZnpaGyaNGmiH374QTt27FBwcHCFY86fP6/69etL%2BvXaq8r8tsmszDXXXOO0HChJrVq1cvx/Zdd5lTeCeXl5jrG6detqw4YN2rFjh2655ZYKx9jtdnl7e1%2B01ltuuUU2m63C%2BJ/%2B9CdJ0tmzZy/6WgDgt7gIH6jBrr32Wl177bWKiYlRYWGhtm3bpm%2B//Vb/%2Bte/lJubqyNHjig2NlaJiYlOx1133XUXPOc111yjo0eP6tChQ5LkSLFKSko0atSoCx5Xp04dlZWV6eDBg07n9/T01PHjx7Vjxw4dOXJE6enpOnDggPbs2aOCggJJv6ZVlSlPti6kRYsWFcbq1avn%2BP/GjRtX2P7bP2T4bx4eHsrNzdX27dt16NAhHT16VAcPHtSePXt0%2BvTpi9b624Tvt8o/jeD8%2BfMXfiEA8F9owIBawsvLS7169VKvXr0UGxurJ598UmvWrNH27du1a9cupzvi//dfHf5WedJz5swZSf%2BX3BQXF2vbtm2XrKP8OEk6ePCg/ud//kebN292alzq16%2Bvbt26KSsrS6mpqRc816U%2BSsnLy%2Bui28uXHqsiOztbL730kj7//HOVlJQ4fY0uXbro/PnzF11G/G3jVxk7f88EwAAaMKAGefbZZ/XDDz/o9ttv14QJEy64n6enp1544QWtX79eJSUl%2Bvnnn50asPLkqTLlS3Plt68ob3I6deqklStXVrnW3Nxc3XvvvcrNzVXLli115513qmPHjvrTn/6k1q1by2azaerUqRdtwKxy7tw5jR07VgcOHJCvr6/uvvtude7cWYGBgWrbtq3q1KmjV155heu4AFiGBgyoQc6dO6fDhw9rw4YNF23ApF9TJh8fH506darCRxGVLytWprwhat%2B%2BvaRfbxMh/XpLidLS0kqX8Ox2u5KSktS8eXO1bNlS9erV04oVK5SbmytfX1%2BtWLGi0o9DKr/Q39U2bNigAwcOqG7dukpMTKxwEb6kSq%2BlA4DLhYvwgRqk/C8Qf/rpp0umUd9%2B%2B61OnTolX1/fCnfN//rrrx33tvqtTZs26fjx46pXr54iIiIkSd27d1eDBg2Un59/wa%2B5evVqjR07VoMGDXI0KkePHpUktWzZstLmKy0tTdu3b5fk%2Buujymv18fGptPnKycnRV199Jcn1tQL4Y6ABA2qQXr16aeDAgZKkp59%2BWrNmzXI0D%2BXOnTunFStWaMqUKZKk2NjYCndhLygo0MSJE3X8%2BHHHWFJSkmbMmCHp15uYlt9Owdvb23Frh1mzZmnFihVO13Nt2LBBM2fOlPTrbSPatm0r6f/%2B%2Bi81NVXr1q1z7G%2B32/X1119r3LhxjmutLnS7DKuU13r69Gm9//77Ttdrbd%2B%2BXffff7/jxrGurhXAHwNLkEANEx8fL29vb/3zn//UBx98oA8%2B%2BEAtW7ZUkyZNdO7cOR06dEjFxcVyd3fX1KlTdc8991Q4R0BAgPbs2aP%2B/fsrODhYBQUFjr96vO222/Twww877T9%2B/Hilp6dr6dKlevLJJ/W///u/at26tTIzM5WVlSXp17vWv/jii45jRo4cqY8%2B%2BkiHDx/W5MmT1apVKzVu3FjHjx9Xbm6u3N3d1aNHDyUnJ7t8KTIiIkKhoaFKSUnR7NmztWDBAjVr1kzZ2dnKzMyUzWbTjTfeqH//%2B9/KysqS3W6v9JYTAFBdaMCAGqZevXqaO3euRo0apbVr1yopKUmZmZlKTU2Vl5eX2rVrp969e2vkyJGOZOe/denSRfHx8Xrttde0detW1a1bVz169NDdd9/tuOHob9lsNsXFxWngwIH6%2BOOPtX37du3Zs0ceHh4KCQnRbbfdpqioKKe/BKxfv76WL1%2BuBQsWaNOmTTp69KhycnLUvHlz3XLLLRo7dqy8vb3Vv39/paamKiMjQy1btrxs83YxderU0aJFi7R48WKtWbNG6enp2rdvn/z8/HTrrbdq1KhR6tSpk8LDw3Xq1Clt27btkvcoAwAz%2BCxI4ApS/hmKQ4YMUXx8vKvLAQBcANeAAQAAWIwGDAAAwGI0YAAAABajAQMAAFeUEydOaMCAAUpKSrrgPps3b9aQIUMUEhKiQYMGadOmTU7bFyxYoD59%2BigkJESjR4/WwYMHq7VGGjDgCjJ37lzt3buXC/AB/GFt3bpVUVFROnLkyAX3OXTokGJiYhQbG6stW7YoJiZGU6ZMcdwyZ9WqVVq8eLEWLlyopKQkderUSZMnT67Wz3ylAQMAAFeEVatW6bHHHtOjjz56yf26deum/v37q27durr11lvVvXt3JSYmSpKWLl2qe%2B65R0FBQfLw8NDUqVOVkZFx0UTNKBowAABQI2RlZWnXrl1Oj/KbQVdF79699cUXX1R6v8PfSktLU3BwsNNY%2B/btHZ%2BV%2B9/b3d3dFRAQ4NheHbgRa1VwR%2Byar107af9%2BKShI%2BvlnV1eDi/nNxxwBMMmV70%2BX4WsnvvaaEhISnMaio6MVExNTpeP9/PyqtF9%2Bfr68vLycxjw9PVVQUFCl7dWBBgxXBl9fqU6dX/8LwDybTeI%2B3bBYVFSUIiIinMaq2lQZ4eXlpaKiIqexoqIix%2BfqXmp7daABAwAAxrlV/1VM/v7%2B8vf3r/bz/rfg4GDt2rXLaSwtLU2dO3eWJAUFBWn//v3q27evJKmkpESHDh2qsGxpBteAAQCAP5TIyEglJydr7dq1Ki0t1dq1a5WcnKyhQ4dKkkaMGKEPP/xQqampOnfunF5%2B%2BWU1bdpU3bp1q7YaSMAAAIBxlyEBu5xCQ0P1/PPPKzIyUoGBgXr99dcVHx%2Bvp556Sq1atdK8efPUrl07SdLIkSN19uxZTZo0SSdOnFCXLl301ltvyd3dvdrq4cO4q4KL8Gu%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%2BPl7%2B8v6dcGrHPnzpe1XhIwAABg3GVIwLKyspSdne005ufn52iMLmb//v3y9fVVs2bNHGOBgYHKyMjQmTNn1LBhw0qPe/755zVs2DB169bNMbZz506dPn1at912m3JyctSlSxc98cQTat%2B%2B/e98ZRWRgAEAgBohMTFRw4cPd3okJiZW6dj8/Hx5eXk5jZU/LygoqPSYLVu2aMeOHY6lx3INGzZU165d9cEHH2jDhg0KCAjQ/fffr7Nnz/6OV1U5EjAAAGDcZUjAoqKiFBER4TTm5%2BdXpWO9vb1VWFjoNFb%2B3MfHp9JjEhMTNWjQoApf4%2BWXX3Z6PmPGDK1YsUJbtmxR3759q1TPpdCAAQAA4y5DA%2Bbv71%2Bl5cbKBAUF6dSpU8rJyVHTpk0lSQcOHFDz5s3VoEGDCvuXlpZq48aNev31153G8/Ly9Prrr%2Bvee%2B9Vq1atJEnnz59XaWmpPD09f1dtlWEJEgAA1HoBAQHq2rWrZs%2Berby8PKWnp%2BuNN97QyJEjK91/7969OnfunMLCwpzG69evr3//%2B9966aWXdPbsWeXn5ysuLk6tW7d2uk7MLBowAABgnJtb9T9Meu2111RaWqp%2B/frpzjvv1E033aSJEydKkkJDQ/XJJ5849k1PT1ejRo3k4eFR4TxvvPGGysrK1L9/f910003Kzs7WggUL5O7ubrrGcja73W6vtrNdqWw2V1eASwkNlbZtk8LCpJQUV1eDiykrc3UFqAqbTeLtoeZz5fvTgAHVf84vvqj%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%2BfbmFFAAD8Qbi5Vf/DpNzcXE2cOFHdunVTeHi4Zs2apdLS0kr3HTdunLp06aLQ0FDH4%2Buvv5YknT9/Xi%2B99JJuvPFGhYaGasKECcrKyjJd32/V6gQsMjJSa9ascXUZAAD88dTABmzKlCny9vbWN998o%2BXLl%2Bv777/XokWLKt33p59%2B0sKFC5WSkuJ49OnTR5L05ptv6rvvvtOKFSv0zTffyNPTU08//bTp%2Bn7L0KudN2%2Bebr75ZvXo0UMjRozQxo0bHdsWLlyoAQMGKCQkRJMnT1ZeXp5j27JlyzR48GCFhYVpyJAh%2BuSTTxzbRo8erblz52r48OEKCQnR8OHDtWXLlirVs3LlSkVERDieb9y4UYMHD1ZISIgefvhhnTx50sjLAwAAtdThw4eVnJysadOmycvLS23atNHEiRO1ZMmSCvump6fr9OnT6tixY6XnWrZsmcaPH68WLVqofv36euqpp/T1118rPT292uqt8kX4P/zwgxITE7Vy5Ur5%2BfkpMTFRTz31lF5%2B%2BWVJ0rFjx/Tpp5/q1KlTuuOOO7RkyRI9/PDDWrlypebOnauEhAT16NFDycnJio6OlpeXlwYMGCBJSkxM1JtvvqmwsDAtXLhQEyZM0Pr169W4ceMqv5CDBw8qNjZWs2fP1q233qqvvvpKkydPVmRkpKEJycrKUnZ2ttOYX7t28vf1NXQeWKxDB%2Bf/AgAur8twEX6l78F%2BfvL397/ksfv375evr6%2BaNWvmGAsMDFRGRobOnDmjhg0bOsZ37twpHx8fPfroo9q5c6eaNm2q%2B%2B67TyNHjtTZs2f1yy%2B/KDg42LF/06ZN1ahRI%2B3du1dt2rSphldqoAHz8PDQ6dOntXTpUvXt21d33HGHoqKilJycLEmKiYmRh4eHmjVrpu7du%2BvIkSOSpBUrVigqKko9e/aUJPXs2VNRUVH6%2BOOPHQ3YiBEjdMMNN0iSHnnkEf3jH//Qpk2bNHz48Cq/kLVr16pz586Ohqt///7q27dvlY8vl5iYqISEBKex6NhYxcTGGj4XXOCjj1xdAXDlsNlcXQH%2BYCp9D46OVkxMzCWPzc/Pl5eXl9NY%2BfOCggKnBqy4uFghISF69NFHFRQUpKSkJMXExMjHx0ehoaGSJG9vb6dzeXp6Kj8//3e9rspUuQELDQ3VvHnztHjxYr3zzjvy9PTU6NGjFRYWJklOaZW7u7vOnz8vScrJyanQLbZu3Vpffvml43lAQIDj/202m5o3b16hA76UzMxMtWzZ0mmsbdu2hpcho6KinJY1JclvyBDp/fcNnQcW69Dh1%2Bbrnnuk1FRXV4OL2brV1RWgKmw2yW53dRW4FFc2yZchAav0PdjPr0rHent7q7Cw0Gms/LmPj4/T%2BLBhwzRs2DDH8969e2vYsGH67LPPdOONNzodW66oqKjCecyocgOWkZGhJk2aaOHChSouLtb333%2Bv6OhozZs376LHtW7d2pGGlUtPT3ea0MzMTMf/l5WVKSMjQy1atKhqaZKk5s2b66uvvnIa%2B%2BWXX%2BTh4WHoPP7%2B/hWjzp9/NnQOuFBqqpSS4uoqAODKdxkasErfg6soKChIp06dUk5Ojpo2bSpJOnDggJo3b64GDRo47bt8%2BXL5%2BPho0KBBjrHi4mJ5eHioUaNGatasmdLS0hzLkNnZ2Tp16pTTsqRZVZ69nTt3aty4cUpNTVW9evXUpEkTSdK%2BffsuetzIkSOVmJio77//XufPn3dcSzZixAjHPsuWLdNPP/2k4uJivf7667Lb7YaXDyMjI7Vv3z4tXbpUpaWl%2Bvbbb/XFF18YOgcAAKidAgIC1LVrV82ePVt5eXlKT0/XG2%2B8oZEjR1bYNy8vT3Fxcdq9e7fKysr01Vdf6dNPP1VUVJQkafjw4XrzzTeVnp6uvLw8zZ49Wz169FDbtm2rrd4qJ2ADBw7UoUOHNGHCBJ08eVJNmjTRk08%2BqT/96U8XPW7QoEHKy8vTiy%2B%2BqIyMDDVr1kyPP/64U/TXo0cPvfDCC0pLS1PHjh317rvvVuhWL6VNmzaaP3%2B%2B5s6dq1mzZqlTp06Oa8wAAEA1q4F3wn/ttdf0wgsvqF%2B/fnJzc9OwYcM0ceJESb9eSvX8888rMjJSY8eOVUFBgaKjo5Wbm6s2bdropZdeUrdu3SRJkyZNUmlpqUaNGqX8/HyFh4fr73//e7XWarPbXbvIP3r0aPXo0aNKF9i5DBei1nyhodK2bVJYGEuQNV1ZmasrQFVwDVjt4Mr3p1mzqv%2BcTz1V/eesofgsSAAAYFwNTMBqkxrbgP3nP//R2LFjL7i9ZcuW3AUfAABXoQEzxeUN2OLFiysdv%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%2B/hozZoxGjRolSSorK1PXrl1lt9tls9kcx3z33Xfy9vaullppwAAAgHE1sAGbMmWKmjVrpm%2B%2B%2BUY5OTmaMGGCFi1apHHjxjntt2HDBv3tb3/TggULdP3112v79u166KGH1LRpUw0cOFBpaWkqKSnRtm3bVK9evctSa82bPQAAAIMOHz6s5ORkTZs2TV5eXmrTpo0mTpyoJUuWVNg3MzNT48ePV0hIiGw2m0JDQxUeHq4ff/xRkrRz505dc801l635kkjAAADA73EZErCsrCxlZ2c7jfn5%2Bcnf3/%2BSx%2B7fv1%2B%2Bvr5q1qyZYywwMFAZGRk6c%2BaMGjZs6BgvX2osl5ubqx9//FEzZsyQ9GsDdu7cOY0YMULHjh1TYGCgpk6dqrCwMDMvzwkNGAAAqBESExOVkJDgNBYdHa2YmJhLHpufny8vLy%2BnsfLnBQUFTg3Yb2VnZ%2Bvhhx9W586dddttt0mSPD09dd111yk2NlaNGjXSkiVL9OCDD%2BqTTz5RmzZtfs9Lq4AGDAAAGHcZErCoqChFREQ4jfn5%2BVXpWG9vbxUWFjqNlT/38fGp9Jjt27crNjZW3bp105w5cxwX60%2BfPt1pvwcffFArV67U5s2bde%2B991apnkuhAQMAAMZdhgbM39%2B/SsuNlQkKCtKpU6eUk5Ojpk2bSpIOHDig5s2bq0GDBhX2X758uV588UVNnjxZDzzwgNO2V155RQMHDlTHjh0dY8XFxfLw8PhdtVWGi/ABAECtFxAQoK5du2r27NnKy8tTenq63njjDY0cObLCvuvWrdNzzz2nefPmVWi%2BJGnfvn2aNWuWsrOzVVxcrISEBOXl5WnAgAHVVi8NGAAAMM7NrfofJr322msqLS1Vv379dOedd%2Bqmm27SxIkTJUmhoaH65JNPJEkJCQk6f/68Jk%2BerNDQUMfj2WefkFYbAAAgAElEQVSflSTNmTNHbdu21dChQxUeHq7k5GS999578vX1NV1jOZvdbrdX29muVL%2B5CRtqqNBQads2KSxMSklxdTW4mLIyV1eAqrDZJN4eaj5Xvj999131n7NXr%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%2BfRQSEqLRo0fr4MGDpuv7LRowAABgXA1swKZMmSJvb2998803Wr58ub7//nstWrSown6HDh1STEyMYmNjtWXLFsXExGjKlCnKzMyUJK1atUqLFy/WwoULlZSUpE6dOmny5Mmy2%2B2mayxHAwYAAGq9w4cPKzk5WdOmTZOXl5fatGmjiRMnasmSJRX2XbVqlbp166b%2B/furbt26uvXWW9W9e3clJiZKkpYuXap77rlHQUFB8vDw0NSpU5WRkaGkpKRqq5eL8AEAgHGX4SL8rKwsZWdnO435%2BfnJ39//ksfu379fvr6%2BatasmWMsMDBQGRkZOnPmjBo2bOgYT0tLU3BwsNPx7du3V2pqqmP7%2BPHjHdvc3d0VEBCg1NRU3XDDDb/rtf03GrCqKCtzdQWoqq1bXV0BLoW/nKr5QkOlbdukrl2llBRXV4OLqcYlsZogMTFRCQkJTmPR0dGKiYm55LH5%2Bfny8vJyGit/XlBQ4NSAVbavp6enCgoKqrS9OtCAAQAAw%2ByyVfs5o6KiFBER4TTm5%2BdXpWO9vb1VWFjoNFb%2B3MfHx2ncy8tLRUVFTmNFRUWO/S61vTrQgAEAAMMux%2BKQv79/lZYbKxMUFKRTp04pJydHTZs2lSQdOHBAzZs3V4MGDZz2DQ4O1q5du5zG0tLS1LlzZ8e59u/fr759%2B0qSSkpKdOjQoQrLlmawFgAAAGq9gIAAde3aVbNnz1ZeXp7S09P1xhtvaOTIkRX2jYyMVHJystauXavS0lKtXbtWycnJGjp0qCRpxIgR%2BvDDD5Wamqpz587p5ZdfVtOmTdWtW7dqq9dmr86/qbxSMUW1g83G96o24Bqwmq/8GrCwMK4Bq%2Blc%2BDuvpKT6z%2Bnubu74nJwcvfDCC0pKSpKbm5uGDRumxx57THXq1FFoaKief/55RUZGSpK%2B%2BeYbxcfH68iRI2rVqpWmTZumm2%2B%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%2B/PJLlZaWql%2B/fpo5c6Z8fHwq3X/dunV64403lJ6eLl9fXw0fPlwTJ06Um9uv2dWgQYOUkZHheC5Jy5cvV2BgYJXqoQEDAACG1bYGLC4uTsePH9e6det0/vx5TZkyRfHx8Zo5c2aFfX/66Sc9/vjj%2Bvvf/66bb75ZP//8s8aPHy9vb2898MADysvL088//6yNGzeqVatWv6seliABAMAVrbCwUKtXr9bkyZPl6%2BurJk2a6LHHHtPKlStVWFhYYf9jx47prrvuUt%2B%2BfeXm5qbAwEANGDBAP/74o6RfGzRfX9/f3XxJJGAAAOB3uBwJWFZWlrKzs53G/Pz85O/vf8lji4qKlJmZWem2wsJClZSUKDg42DEWGBiooqIiHTp0SNdee63T/gMHDtTAgQOdzv3VV19pyJAhkqSdO3fKy8tL9957r/bv369WrVopJiZGffv2rfJrpQEDAACGXY4GLDExUQkJCU5j0dHRiomJueSxO3bs0JgxYyrdFhsbK0ny9vZ2jHl5eUmS8vPzL3revLw8xcbGytPTU/fdd58kyWazqUuXLvrrX/%2Bqli1b6vPPP1dMTIw%2B/PBDhYSEXLJWiQYMAADUEFFRUYqIiHAa8/Pzq9Kx4eHh2rt3b6Xbdu/erVdffVWFhYWOi%2B7Llx7r169/wXMePHhQkydPVpMmTfTBBx849h03bpzTfpGRkfr000%2B1bt06GjAAAHD5XI4EzN/fv0rLjUa1a9dO7u7uSktL0/XXXy9JOnDggNzd3RUQEFDpMZs3b9Zf//pX3XnnnZo6darq1v2/lmnhwoXq2LGjevbs6RgrLi6Wh4dHlWviInwAAHBF8/Ly0qBBgxQfH68TJ07oxIkTio%2BP12233SZPT88K%2B2/fvl2TJk3SjBkz9MQTTzg1X5J0/PhxPf/880pPT1dpaamWL1%2BulJQU3X777VWuyWa32%2B2mX9mVjimqHWw2vle1gRv/7qvxQkOlbduksDApJcXV1eBiXPg774svqv%2BcAwZU/znL5eXl6aWXXtKXX36pkpIS9evXT88884zjurDBgwdryJAheuSRR/TII4/oq6%2B%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%2Bff8H9Z86cqc6dOys0NNTxSExMdGxfsGCB%2BvTpo5CQEI0ePVoHDx40VI%2BpBiwjI0OhoaHKyMjQo48%2Bqn/%2B859mTme6hsqsXLlSERERFlcFAABqkri4OB0/flzr1q3T%2BvXrdfz4ccXHx19w/507dyouLk4pKSmOR1RUlCRp1apVWrx4sRYuXKikpCR16tRJkydPlt1ur3I9phqwli1bKiUlRS1bttTJkyfNnKpaagAAANaoTQlYYWGhVq9ercmTJ8vX11dNmjTRY489ppUrV6qwsLDC/sXFxdq3b586d%2B5c6fmWLl2qe%2B65R0FBQfLw8NDUqVOVkZGhpKSkKtdk6hqwo0ePql%2B/furZs6e2bNmilJQU7dq1S/Pnz9eRI0c0e/ZspaSkyNvbW5GRkZo0aZLq1aunlStXavny5br%2B%2Buu1YsUKubm5adKkSfLw8NCbb76pM2fOaPDgwXrhhReqXMPGjRvVunVrHThwQM8995x%2B%2BukntW7dWuHh4WZeIgAAqAWKioqUmZlZ6bbCwkKVlJQoODjYMRYYGKiioiIdOnRI1157rdP%2BqampKi0t1WuvvaatW7eqQYMGGjFihMaNGyc3NzelpaVp/Pjxjv3d3d0VEBCg1NRU3XDDDVWqt1ouwn/xxRc1Y8YM9ejRQzExMSooKNB9992nwYMH69VXX9WJEyc0efJklZWVaerUqZKkrVu36s9//rN%2B%2BOEHffzxx3rxxRc1aNAgrV27VmlpaYqKitKQIUPUvXv3KtdRUlKihx9%2BWH369NE777yjI0eOaPz48XJzq3rQl5WVpezsbKcxv6ZN5e/vX%2BVzALiI0FBXV4BL6dDB%2Bb9AJS5HYlXpe7CfX5Xeg3fs2KExY8ZUui02NlaS5O3t7Rjz8vKSpEqvAzt79qx69Oih0aNH629/%2B5v27NmjSZMmyc3NTePGjVN%2Bfr7j%2BHKenp4qKCi4ZJ3lLstfQX711VcqLi7WX//6V9lsNrVo0UKxsbGaPHmyowHz9vbW2LFjZbPZ1Lt3b50/f14PPvigvLy81KVLF/n7%2B%2BvYsWOGGrCUlBQdP35cjz/%2BuDw8PBQUFKT7779f77//fpXPkZiYqISEBKex6EmTFDN5cpXPARey2VxdAS5l2zZXV4Cq%2BugjV1eAGuxyNGCVvgdHRysmJuaSx4aHh2vv3r2Vbtu9e7deffVVFRYWysfHR5IcS4/169evsH%2BvXr3Uq1cvx/PrrrtOY8eO1dq1azVu3Dh5eXmpqKjI6ZiioiLHuavisjRgx44d04kTJ5yaJ7vdrpKSEuXm5kqSfH19Zfv/b5blCVXDhg0d%2B7u5uanM4Hc3MzNTjRs3lqenp2Osbdu2hs4RFRVV4aJ9v6ZNJQMX1sFFbDa%2BT7VB166urgCX0qHDr83XPfdIqamurgYXc4X9g6bS92A/P9Pnbdeundzd3ZWWlqbrr79eknTgwAHH0uF/27Bhg3JycnTXXXc5xoqLix39RVBQkPbv36%2B%2BfftK%2BnUF7tChQ05LnJdyWRqw5s2bq23btvr8888dY3l5ecrNzdVVV10lSY7mqzq1aNFCJ06cUH5%2BvqML/eWXXwydw9/fv2LUyZs6UH1SUlxdAaoqNZXvFy7ociRglb4HVwMvLy8NGjRI8fHxevXVVyVJ8fHxuu2225xCm3J2u11z5szR1VdfrRtuuEHbt2/XBx98oBkzZkiSRowYoXnz5qlPnz5q166dXnnlFTVt2lTdunWrck3Vdh%2BwevXq6ezZs5Kkvn37Kj8/X%2B%2B8846Ki4t15swZPfHEE3r00UcvS%2BNVLjQ0VO3atdOLL76owsJCHT58WO%2B%2B%2B%2B5l%2B3oAAKB2mDlzpgICAjRkyBD95S9/UevWrfXss886tg8ePFjz58%2BXJA0YMEAzZszQc889p9DQUE2bNk0xMTEaOnSoJGnkyJG67777NGnSJN1www3avXu33nrrLbm7u1e5nmpLwIYNG%2Bb468OPPvpIixYt0ty5c/XOO%2B%2BorKxM4eHhevPNN6vry1WqTp06evvtt/Xss8/qxhtvVNOmTdWvXz%2BtX7/%2Bsn5dAAD%2BaGrbnfDr16%2BvuLg4xcXFVbp9zZo1Ts/vuusupyXI37LZbHrggQf0wAMP/O56bHYjdw37o2KKageuAasdDPxVMlwkNPTXa4vCwliCrOlc%2BDvv/6/GVas5c6r/nDUVvwkBAAAsVuM/jDs8PFzFxcUX3L5mzRrugg8AgMVq2xJkTVPjGzAjt/UHAACoDWp8AwYAAGoeEjBzaMAAAIBhNGDmcBE%2BAACAxUjAAACAYSRg5pCAAQAAWIwEDAAAGEYCZg4NGAAAMIwGzByWIAEAACxGAgYAAAwjATOHBAwAAMBiJGAAAMAwEjBzaMAAAIBhNGDmsAQJAABgMRIwAABgGAmYOSRgAAAAFiMBAwAAhpGAmUMDBgAADKMBM4clSAAAAIuRgAEAAMNIwMwhAQMAALAYCRgAADCMBMwcGjAAAGAYDZg5LEECAABYjAQMAAAYRgJmDgkYAACAxUjAAACAYSRg5tCAAQAAw2jAzGEJEgAAwGIkYAAAwDASMHNowAAAgGE0YOawBAkAAGAxEjAAAGAYCZg5JGAAAAAWIwEDAACGkYCZQwMGAAAMowEzhyVIAAAAi5GAAQAAw0jAzCEBAwAAsBgJGAAAMIwEzBwaMAAAYFhta8AKCgoUFxenL7/8UqWlperXr59mzpwpHx%2BfCvs%2B%2B%2ByzWr16tdNYUVGRbrzxRi1cuFBlZWXq2rWr7Ha7bDabY5/vvvtO3t7eVaqHJUgAAHDFi4uL0/Hjx7Vu3TqtX79ex48fV3x8fKX7vvDCC0pJSXE85s2bp4YNG2r69OmSpLS0NJWUlCg5Odlpv6o2XxINGAAA%2BB3Kyqr/cbkUFhZq9erVmjx5snx9fdWkSRM99thjWrlypQoLCy967IkTJ/TYY4/pqaeeUlBQkCRp586duuaaa1SvXr3fXRNLkAAAoNYrKipSZmZmpdsKCwtVUlKi4OBgx1hgYKCKiop06NAhXXvttRc8b3x8vDp37qzIyEjH2M6dO3Xu3DmNGDFCx44dU2BgoKZOnaqwsLAq10sDBgAADLsciVVWVpays7Odxvz8/OTv73/JY3fs2KExY8ZUui02NlaSnJYIvby8JEn5%2BfkXPGd6ero%2B%2BeQTLVu2zGnc09NT1113nWJjY9WoUSMtWbJEDz74oD755BO1adPmkrVKNGAAAOB3uBwNWGJiohISEpzGoqOjFRMTc8ljw8PDtXfv3kq37d69W6%2B%2B%2BqoKCwsdF92XLz3Wr1//gudcsWKFQkNDKyRk5deClXvwwQe1cuVKbd68Wffee%2B8la5VowAAAQA0RFRWliIgIpzE/Pz/T523Xrp3c3d2Vlpam66%2B/XpJ04MABubu7KyAg4ILHrV%2B/Xg888ECF8VdeeUUDBw5Ux44dHWPFxcXy8PCock00YAAAwLDLkYD5%2B/tXabnRKC8vLw0aNEjx8fF69dVXJf16bddtt90mT0/PSo85efKkDhw4oO7du1fYtm/fPm3ZskV///vf1ahRI7399tvKy8vTgAEDqlwTfwUJAACueDNnzlRAQICGDBmiv/zlL2rdurWeffZZx/bBgwdr/vz5judHjx6VJDVr1qzCuebMmaO2bdtq6NChCg8PV3Jyst577z35%2BvpWuR6b3W63m3g9fwxMUe1gs/G9qg3c%2BHdfjRcaKm3bJoWFSSkprq4GF%2BPC33m9elX/Ob/7rvrPWVOxBAkAAAyrbXfCr2n4pygAAIDFSMAAAIBhJGDmkIABAABYjAQMAAAYRgJmDg0YAAAwjAbMHJYgAQAALEYCBgAADCMBM4cEDAAAwGIkYAAAwDASMHNowAAAgGE0YOawBAkAAGAxEjAAAGAYCZg5JGAAAAAWIwEDAACGkYCZQwMGAAAMowEzhyVIAAAAi5GAAQAAw0jAzCEBAwAAsBgJGAAAMIwEzBwaMAAAYBgNmDksQQIAAFiMBAwAABhGAmYODRgAADCMBswcliABAAAsRgIGAAAMIwEzhwQMAADAYiRgAADAMBIwc2jAAACAYTRg5rAECQAAYDESMAAAYBgJmDkkYAAAABYjAQMAAIaRgJlDAwYAAAyjATOHJUgAAACLkYABAADDSMDMIQEDAACwGAkYAAAwjATMHBowAABgGA2YOSxBAgAAWIwEDAAAGEYCZg4JGAAAgMVIwAAAgGEkYOaQgAEAAMPKyqr/YYXCwkJFRUVp5cqVF91vx44duuOOOxQaGqqIiAgtW7bMafuqVas0YMAAhYSEaPjw4UpJSTFUBw0YAAD4Q9i/f79GjRql7du3X3S/06dP66GHHtKwYcP0448/atasWZozZ47%2B85//SJKSkpIUFxenuXPn6scff1RkZKQmTJigwsLCKtdCAwYAAAyrbQnY999/r7Fjx%2Br2229Xy5YtL7rv%2BvXr5evrq1GjRqlu3brq2bOnhgwZoiVLlkiSli1bpsGDB6tr165yd3fXfffdp8aNG2vt2rVVrodrwAAAQK1XVFSkzMzMSrf5%2BfmpQ4cO2rRpkzw8PPTee%2B9d9Fz79%2B9XcHCw01j79u21fPlySVJaWppGjBhRYXtqamqV66UBAwAAhl2OxCorK0vZ2dlOY35%2BfvL397/ksTt27NCYMWMq3fb666%2Brf//%2BVa4jPz9fXl5eTmOenp4qKCio0vaqoAGrCpvN1RXgErKyspSYmKioqKgq/aDChex2V1eAS8jKylLivHmK%2Bvxzfp5wQZfjR3nevEQlJCQ4jUVHRysmJuaSx4aHh2vv3r3VUoeXl5fOnj3rNFZUVCQfHx/H9qKiogrbGzduXOWvQQOGK0J2drYSEhIUERHBGwZgEj9PcJWoqChFREQ4jfn5%2BVleR3BwsL777junsbS0NAUFBUmSgoKCtH///grb%2B/TpU%2BWvwUX4AACgRvD391enTp2cHq74R8CAAQOUk5OjRYsWqaSkRD/88INWr17tuO5r5MiRWr16tX744QeVlJRo0aJFys3N1YABA6r8NWjAAADAH97gwYM1f/58SVLjxo317rvv6vPPP1d4eLiefvppPf3007rhhhskST179tTMmTP13HPPqUePHlqzZo0WLFggX1/fKn89liABAMAfypdffllhbM2aNU7Pu3Tpoo8//viC5xg6dKiGDh36u2sgAcMVwc/PT9HR0S65VgC40vDzBFx%2BNrudP0kCAACwEgkYAACAxWjAAAAALEYDBgAAYDEaMAAAAIvRgAEAAFiMBgwAAMBiNGAAAAAWowEDAACwGA0YAACAxWjAAAAALMaHcaPWmTFjxiX3mTNnjgWVALVfRESEbDbbRffZuHGjRdUAfxw0YKi1Tp48qW%2B%2B%2BUZ9%2B/ZVmzZtlJmZqS%2B%2B%2BEJ//vOfXV0aUGvExMRIknbt2qWNGzfq/vvvV9u2bXX8%2BHG999576tevn4srBK5MfBg3aq1HHnlEd9xxh9MbxLfffqv58%2Bfrww8/dGFlQO0TGRmpV155RYGBgY6xw4cP66GHHtK6detcWBlwZeIaMNRaSUlJ6tu3r9NYz549tWvXLhdVBNRe6enpatu2rdNYs2bNlJWV5aKKgCsbDRhqrVatWumzzz5zGlu5cqWuvvpqF1UE1F6dO3fWSy%2B9pOLiYklSYWGh4uLi1LVrVxdXBlyZWIJErbVx40bFxsbquuuuU4sWLXT06FHt27dP8%2BfPV3h4uKvLA2qVgwcP6uGHH9bx48fVuHFjnTx5Uu3atdPbb7%2BtFi1auLo84IpDA4Za7eDBg1q7dq2ysrLUvHlzDRkyRG3atHF1WUCtVFpaqm3btjl%2BnsLCwuTmxkIJcDnQgAHAH9gvv/yi5s2bKyMj44L7tGzZ0sKKgD8GGjDUOkOGDNHq1asvev8i7lsEVE1YWJi2bdumDh06VPh5stvtstls2rNnj4uqA65c3AcMtc5DDz0k6f/uXwTg91uzZo2kqv2jpTwtA2AeCRiuaOVpGQDzytMyAOZxdSWuaEePHnV1CcAVg3%2BvA9WHBgxXtEt9xh2AquPnCag%2BNGAAAAAWowEDAACwGA0YAACAxWjAAAAALEYDhisaf7UFVJ969eq5ugTgisF9wFCrnT59Wps2bVJWVpZatmypW265RfXr13ds37lzp7p06eLCCoHaY8uWLTp27FiFf7gMGzbMRRUBVy4aMNRaW7du1YQJE%2BTl5eX4LDu73a733ntPQUFBri4PqFVmzpyp5cuXy9/f3%2Bl2EzabjY/2Ai4DGjDUWiNGjNCAAQP0yCOPSPp1uTEhIUHJyclavHixi6sDapfu3bvrvffeU%2BfOnV1dCvCHwDVgqLUOHjyocePGOZ7bbDY98sgj2r17twurAmqnBg0aKDg42NVlAH8YNGCotdq1a6eUlBSnsf3796t9%2B/YuqgiovSZMmKCnnnpKqampysjIcHoAqH51XV0A8HuFh4frkUce0YgRI3T11VcrKytLy5YtU48ePZSQkODYLzo62oVVArXDuXPntHbtWn366aeOMbvdLpvNpj179riwMuDKxDVgqLVGjx59yX1sNps%2B%2BOADC6oBarcbb7xRMTEx6t27t9zcnBdHWrVq5aKqgCsXDRgAQOHh4UpKSnJ1GcAfBteAoVbbsGGDxo8fr1tvvVVjx47V6tWrXV0SUCsNHz6ctBiwEAkYaq3Vq1fr%2BeefV1RUlFq3bq0jR45o6dKlmj59uu64447/1979gzbVxWEcfwLRWBosGtrmzyA4dZFGG4KgQykoIiK2NUFQqJYuEihkrYVCEUJRkNpS3BwkiEt1EkRIl1JiggFR1NYtVVvonyFYg3CNTm94gyi8oPe8J34/U7jnDs/43HPP/cV0PMAqFy9e1PPnz9Xa2qq2traGWWDMAQN%2BPwoYrHX27FmNjY3p6NGj9Wv5fF6Tk5N6/PixwWSAfR4%2BfPjTtf7%2BfheTAH8HChisFYvFVCwWG57Ua7WaYrGYSqWSwWSA3ba3t7V//37TMYCmxhkwWCsYDKpYLDZcKxaLCofDhhIB9nIcR7du3VJPT4/6%2Bvq0urqqwcFBbWxsmI4GNCUKGKw1NDSkVCqlmzdv6sGDB7px44ZSqZSuXDRvc%2BEAAAMJSURBVLliOhpgnZmZGeXzeU1PT2vXrl0KBAIKBoO6fv266WhAU%2BIVJKw2Pz%2Bv%2Bfl5bW5uKhKJKJFI6NSpU6ZjAdbp6%2BvT/fv31dnZqXg8rkKhoEqlohMnTjCeAvgDmIQPqw0MDGhgYMB0DMB6nz9/rp/7%2Bue5fM%2BePT8MZQXwe1DAYK2dnR1ls1mtrq7KcZyGtUwmYygVYKdoNKrZ2Vml0%2Bn6hy337t3ToUOHDCcDmhOvIGGt0dFRvXjxQrFYTLt3725Yo4AB/025XNbly5flOI62trZ04MAB7ezs6O7duzp48KDpeEDToYDBWocPH9aTJ0/U0dFhOgrQFKrVqhYWFvTx40cFg0H19vbK7/ebjgU0JV7uw1rt7e3at2%2Bf6RhAU7h69apaWlp0%2BvRpjYyM6MyZM/L7/bp06ZLpaEBT4gwYrHXhwgVNTU1pdHRUe/fuNR0HsM779%2B/16NEjSdLi4qJmZ2cb1j99%2BqTl5WUT0YCmRwGDdbq6uuTxeOpfamWz2R/uefPmjduxAOuEw2G9e/dO29vb%2Bvr16w/jJnw%2BnyYmJgylA5obZ8BgnUKhUP/tOI68Xq9qtZq%2BfPmilZUVdXd3Kx6PG0wI2GN9fV3BYFDDw8M/HbrKv0sAvx8FDNbK5XIaHx/X0tKS5ubmdOfOHXk8Hl27dk3JZNJ0PMAKR44cUalUqu8s/9u3b9/k8XjYUQb%2BAAoYrJVIJJRIJHT%2B/HkdP35cmUxGgUBA6XRaT58%2BNR0PsMLa2ppCoZA%2BfPjw03sikYiLiYC/A2fAYK1yuaxkMqnXr1%2BrWq3q2LFj8nq92tzcNB0NsEYoFJJEyQLcxhgKWKulpUVbW1vK5XLq6emR1%2BvV27dvGU0BAPjfYwcM1hocHNS5c%2BdUqVR0%2B/ZtvXr1SiMjIxoeHjYdDQCAX%2BIMGKz27Nkz%2BXw%2BRaNRra2t6eXLlzp58qTpWAAA/BIFDAAAwGWcAQMAAHAZBQwAAMBlFDAAAACXUcAAAABcRgEDAABwGQUMAADAZRQwAAAAl1HAAAAAXPYdD1IgwwWBhXMAAAAASUVORK5CYII%3D\" class=\"center-img\">\n",
       "</div>\n",
       "    <div class=\"row headerrow highlight\">\n",
       "        <h1>Sample</h1>\n",
       "    </div>\n",
       "    <div class=\"row variablerow\">\n",
       "    <div class=\"col-md-12\" style=\"overflow:scroll; width: 100%%; overflow-y: hidden;\">\n",
       "        <table border=\"1\" class=\"dataframe sample\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>shop_id</th>\n",
       "      <th>item_id</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5</td>\n",
       "      <td>5037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5</td>\n",
       "      <td>5320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5</td>\n",
       "      <td>5233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "      <td>5232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>5268</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "    </div>\n",
       "</div>\n",
       "</div>"
      ],
      "text/plain": [
       "<pandas_profiling.ProfileReport at 0x270890f7240>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ppf.ProfileReport(test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<meta charset=\"UTF-8\">\n",
       "\n",
       "<style>\n",
       "\n",
       "        .variablerow {\n",
       "            border: 1px solid #e1e1e8;\n",
       "            border-top: hidden;\n",
       "            padding-top: 2em;\n",
       "            padding-bottom: 2em;\n",
       "            padding-left: 1em;\n",
       "            padding-right: 1em;\n",
       "        }\n",
       "\n",
       "        .headerrow {\n",
       "            border: 1px solid #e1e1e8;\n",
       "            background-color: #f5f5f5;\n",
       "            padding: 2em;\n",
       "        }\n",
       "        .namecol {\n",
       "            margin-top: -1em;\n",
       "            overflow-x: auto;\n",
       "        }\n",
       "\n",
       "        .dl-horizontal dt {\n",
       "            text-align: left;\n",
       "            padding-right: 1em;\n",
       "            white-space: normal;\n",
       "        }\n",
       "\n",
       "        .dl-horizontal dd {\n",
       "            margin-left: 0;\n",
       "        }\n",
       "\n",
       "        .ignore {\n",
       "            opacity: 0.4;\n",
       "        }\n",
       "\n",
       "        .container.pandas-profiling {\n",
       "            max-width:975px;\n",
       "        }\n",
       "\n",
       "        .col-md-12 {\n",
       "            padding-left: 2em;\n",
       "        }\n",
       "\n",
       "        .indent {\n",
       "            margin-left: 1em;\n",
       "        }\n",
       "\n",
       "        .center-img {\n",
       "            margin-left: auto !important;\n",
       "            margin-right: auto !important;\n",
       "            display: block;\n",
       "        }\n",
       "\n",
       "        /* Table example_values */\n",
       "            table.example_values {\n",
       "                border: 0;\n",
       "            }\n",
       "\n",
       "            .example_values th {\n",
       "                border: 0;\n",
       "                padding: 0 ;\n",
       "                color: #555;\n",
       "                font-weight: 600;\n",
       "            }\n",
       "\n",
       "            .example_values tr, .example_values td{\n",
       "                border: 0;\n",
       "                padding: 0;\n",
       "                color: #555;\n",
       "            }\n",
       "\n",
       "        /* STATS */\n",
       "            table.stats {\n",
       "                border: 0;\n",
       "            }\n",
       "\n",
       "            .stats th {\n",
       "                border: 0;\n",
       "                padding: 0 2em 0 0;\n",
       "                color: #555;\n",
       "                font-weight: 600;\n",
       "            }\n",
       "\n",
       "            .stats tr {\n",
       "                border: 0;\n",
       "            }\n",
       "\n",
       "            .stats td{\n",
       "                color: #555;\n",
       "                padding: 1px;\n",
       "                border: 0;\n",
       "            }\n",
       "\n",
       "\n",
       "        /* Sample table */\n",
       "            table.sample {\n",
       "                border: 0;\n",
       "                margin-bottom: 2em;\n",
       "                margin-left:1em;\n",
       "            }\n",
       "            .sample tr {\n",
       "                border:0;\n",
       "            }\n",
       "            .sample td, .sample th{\n",
       "                padding: 0.5em;\n",
       "                white-space: nowrap;\n",
       "                border: none;\n",
       "\n",
       "            }\n",
       "\n",
       "            .sample thead {\n",
       "                border-top: 0;\n",
       "                border-bottom: 2px solid #ddd;\n",
       "            }\n",
       "\n",
       "            .sample td {\n",
       "                width:100%;\n",
       "            }\n",
       "\n",
       "\n",
       "        /* There is no good solution available to make the divs equal height and then center ... */\n",
       "            .histogram {\n",
       "                margin-top: 3em;\n",
       "            }\n",
       "        /* Freq table */\n",
       "\n",
       "            table.freq {\n",
       "                margin-bottom: 2em;\n",
       "                border: 0;\n",
       "            }\n",
       "            table.freq th, table.freq tr, table.freq td {\n",
       "                border: 0;\n",
       "                padding: 0;\n",
       "            }\n",
       "\n",
       "            .freq thead {\n",
       "                font-weight: 600;\n",
       "                white-space: nowrap;\n",
       "                overflow: hidden;\n",
       "                text-overflow: ellipsis;\n",
       "\n",
       "            }\n",
       "\n",
       "            td.fillremaining{\n",
       "                width:auto;\n",
       "                max-width: none;\n",
       "            }\n",
       "\n",
       "            td.number, th.number {\n",
       "                text-align:right ;\n",
       "            }\n",
       "\n",
       "        /* Freq mini */\n",
       "            .freq.mini td{\n",
       "                width: 50%;\n",
       "                padding: 1px;\n",
       "                font-size: 12px;\n",
       "\n",
       "            }\n",
       "            table.freq.mini {\n",
       "                 width:100%;\n",
       "            }\n",
       "            .freq.mini th {\n",
       "                overflow: hidden;\n",
       "                text-overflow: ellipsis;\n",
       "                white-space: nowrap;\n",
       "                max-width: 5em;\n",
       "                font-weight: 400;\n",
       "                text-align:right;\n",
       "                padding-right: 0.5em;\n",
       "            }\n",
       "\n",
       "            .missing {\n",
       "                color: #a94442;\n",
       "            }\n",
       "            .alert, .alert > th, .alert > td {\n",
       "                color: #a94442;\n",
       "            }\n",
       "\n",
       "\n",
       "        /* Bars in tables */\n",
       "            .freq .bar{\n",
       "                float: left;\n",
       "                width: 0;\n",
       "                height: 100%;\n",
       "                line-height: 20px;\n",
       "                color: #fff;\n",
       "                text-align: center;\n",
       "                background-color: #337ab7;\n",
       "                border-radius: 3px;\n",
       "                margin-right: 4px;\n",
       "            }\n",
       "            .other .bar {\n",
       "                background-color: #999;\n",
       "            }\n",
       "            .missing .bar{\n",
       "                background-color: #a94442;\n",
       "            }\n",
       "            .tooltip-inner {\n",
       "                width: 100%;\n",
       "                white-space: nowrap;\n",
       "                text-align:left;\n",
       "            }\n",
       "\n",
       "            .extrapadding{\n",
       "                padding: 2em;\n",
       "            }\n",
       "\n",
       "            .pp-anchor{\n",
       "\n",
       "            }\n",
       "\n",
       "</style>\n",
       "\n",
       "<div class=\"container pandas-profiling\">\n",
       "    <div class=\"row headerrow highlight\">\n",
       "        <h1>Overview</h1>\n",
       "    </div>\n",
       "    <div class=\"row variablerow\">\n",
       "    <div class=\"col-md-6 namecol\">\n",
       "        <p class=\"h4\">Dataset info</p>\n",
       "        <table class=\"stats\" style=\"margin-left: 1em;\">\n",
       "            <tbody>\n",
       "            <tr>\n",
       "                <th>Number of variables</th>\n",
       "                <td>2 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Number of observations</th>\n",
       "                <td>84 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Total Missing (%)</th>\n",
       "                <td>0.0% </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Total size in memory</th>\n",
       "                <td>1.4 KiB </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Average record size in memory</th>\n",
       "                <td>17.0 B </td>\n",
       "            </tr>\n",
       "            </tbody>\n",
       "        </table>\n",
       "    </div>\n",
       "    <div class=\"col-md-6 namecol\">\n",
       "        <p class=\"h4\">Variables types</p>\n",
       "        <table class=\"stats\" style=\"margin-left: 1em;\">\n",
       "            <tbody>\n",
       "            <tr>\n",
       "                <th>Numeric</th>\n",
       "                <td>1 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Categorical</th>\n",
       "                <td>0 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Boolean</th>\n",
       "                <td>0 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Date</th>\n",
       "                <td>0 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Text (Unique)</th>\n",
       "                <td>1 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Rejected</th>\n",
       "                <td>0 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Unsupported</th>\n",
       "                <td>0 </td>\n",
       "            </tr>\n",
       "            </tbody>\n",
       "        </table>\n",
       "    </div>\n",
       "    <div class=\"col-md-12\" style=\"padding-left: 1em;\">\n",
       "        \n",
       "        <p class=\"h4\">Warnings</p>\n",
       "        <ul class=\"list-unstyled\"><li><a href=\"#pp_var_item_category_id\"><code>item_category_id</code></a> has 1 / 1.2% zeros <span class=\"label label-info\">Zeros</span></li> </ul>\n",
       "    </div>\n",
       "</div>\n",
       "    <div class=\"row headerrow highlight\">\n",
       "        <h1>Variables</h1>\n",
       "    </div>\n",
       "    <div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_item_category_id\">item_category_id<br/>\n",
       "            <small>Numeric</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-6\">\n",
       "    <div class=\"row\">\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "                <tr>\n",
       "                    <th>Distinct count</th>\n",
       "                    <td>84</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>100.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "\n",
       "        </div>\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "\n",
       "                <tr>\n",
       "                    <th>Mean</th>\n",
       "                    <td>41.5</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>83</td>\n",
       "                </tr>\n",
       "                <tr class=\"alert\">\n",
       "                    <th>Zeros (%)</th>\n",
       "                    <td>1.2%</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram-9112353636316161705\">\n",
       "    <img src=\"%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAAa9JREFUeJzt1zGO01AUhtHraFo7fTTeBYtgT9SU7IdFsItEWYAtCgryKCA0Az8aFD2PpXPKWMq9kd%2Bn6A2ttVadXS6Xmue591h27nw%2B1/Pzc9eZT12n/TKOY1X9/MHTNG2xAjuyLEvN8/z73PS0SSDDMFRV1TRNLwJ59%2BHzq7/vy8f3D9nrX167m70e%2By7v56anQ/eJsCMCgUAgEAgEgk0u6Y/2P5fBHuy1f/5BIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAsHTFkNba1VVtSzLi2ffv33tvQ5vyJ/OxP2z%2B7npaZNA1nWtqqp5nrcYzxt2/PT3Z%2Bu61vF47LdMVQ1tgyxvt1tdr9cax7GGYeg9np1prdW6rnU6nepw6Hsr2CQQ2AuXdAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCASCH59GTajxbQicAAAAAElFTkSuQmCC\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-9112353636316161705,#minihistogram-9112353636316161705\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives-9112353636316161705\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-9112353636316161705\"\n",
       "                                                  aria-controls=\"quantiles-9112353636316161705\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram-9112353636316161705\" aria-controls=\"histogram-9112353636316161705\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common-9112353636316161705\" aria-controls=\"common-9112353636316161705\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme-9112353636316161705\" aria-controls=\"extreme-9112353636316161705\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
       "\n",
       "    </ul>\n",
       "\n",
       "    <div class=\"tab-content\">\n",
       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-9112353636316161705\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>4.15</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>20.75</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>41.5</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>62.25</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>78.85</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>83</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>83</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>41.5</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "            <div class=\"col-md-4 col-md-offset-2\">\n",
       "                <p class=\"h4\">Descriptive statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Standard deviation</th>\n",
       "                        <td>24.393</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>0.58777</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>-1.2</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>41.5</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>21</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>3486</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>595</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>752.0 B</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-9112353636316161705\">\n",
       "            <img src=\"%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAHDtJREFUeJzt3X2QlXX98PHPsgsLGqwK4YKgrY0OCGoINClopkZ3QmVOTj6gqD1IIbJSCkQZ1sD6HJmJQUmUKdiMFj2paIk4RMqCD1kjpiUrQkA/2wUfVmGv%2B49u93ZnpUV/X/Zarn29Zs6M53uuc/YzfnfgzXWuPVuSZVkWAAAk0yXvAQAAikZgAQAkJrAAABITWAAAiQksAIDEBBYAQGICCwAgMYEFAJCYwAIASExgAQAkJrAAABITWAAAiQksAIDEBBYAQGICCwAgMYEFAJCYwAIASExgAQAkJrAAABITWAAAiQksAIDEBBYAQGICCwAgMYEFAJCYwAIASExgAQAkJrAAABITWAAAiQksAIDEBBYAQGICCwAgMYEFAJCYwAIASExgAQAkJrAAABITWAAAiQksAIDEBBYAQGJleQ/QGTQ1NcWLL74YPXv2jJKSkrzHAYBOIcuy2LZtW/Tv3z%2B6dGnfc0oCqx28%2BOKLMXDgwLzHAIBOqa6uLgYMGNCuX1NgtYOePXtGxH82uFevXjlPAwCdQ0NDQwwcOLD57%2BH2JLDawZtvC/bq1UtgAUA7y%2BPyHBe5AwAkJrAAABITWAAAiQksAIDEBBYAQGICCwAgMYEFAJCYwAIASExgAQAkJrAAABITWAAAiQksAIDE/LLnvdyImffkPcJuWz37/%2BQ9QqH5XuBNvhd4k%2B%2BF/DiDBQCQmMACAEhMYAEAJCawAAASE1gAAIkJLACAxAQWAEBiAgsAIDGBBQCQmMACAEhMYAEAJCawAAASE1gAAIkJLACAxAQWAEBiAgsAIDGBBQCQmMACAEhMYAEAJCawAAASE1gAAIkJLACAxAQWAEBiAgsAIDGBBQCQmMACAEhMYAEAJCawAAASE1gAAIkJrDbs2LEjvv71r0dVVVX06NEjDj300PjWt74VTU1NeY8GAHRQZXkP0NFdffXVccstt8SiRYtiyJAhsXr16rjggguioqIipkyZkvd4AEAHJLDa8Mc//jE%2B9alPxdixYyMi4n3ve1/ccccdsXr16pwnAwA6Km8RtmH06NHxwAMPxLp16yIi4vHHH4%2BHH344Tj311F0%2Bp7GxMRoaGlrcAIDOwxmsNkybNi3q6%2Btj0KBBUVpaGjt37ozZs2fHWWedtcvn1NTUxJVXXtmOU%2B4dRsy8J%2B8R6CB8L/Am3wsUlTNYbViyZEncdtttcfvtt8eaNWti0aJFcd1118WiRYt2%2BZwZM2ZEfX19862urq4dJwYA8uYMVhsuu%2ByymD59epx55pkREXHkkUfG888/HzU1NTFhwoS3fU55eXmUl5e355gAQAfiDFYbXnnllejSpeX/ptLSUh/TAADskjNYbfjEJz4Rs2fPjoMPPjiGDBkSa9eujRtuuCEuvPDCvEcDADoogdWG733ve/GNb3wjvvzlL8fmzZujf//%2BcdFFF8UVV1yR92gAQAclsNrQs2fPmDt3bsydOzfvUQCAvYRrsAAAEhNYAACJCSwAgMQEFgBAYgILACAxgQUAkJjAAgBITGABACQmsAAAEhNYAACJCSwAgMQEFgBAYgILACAxgQUAkJjAAgBITGABACQmsAAAEhNYAACJCSwAgMQEFgBAYgILACAxgQUAkJjAAgBITGABACQmsAAAEhNYAACJCSwAgMQEFgBAYgILACAxgQUAkJjAAgBITGABACQmsAAAEhNYAACJCSwAgMQEFgBAYgILACAxgQUAkJjAAgBITGABACQmsAAAEhNYAACJCSwAgMQEFgBAYgILACAxgQUAkJjAAgBITGABACQmsAAAEhNYAACJCSwAgMQEFgBAYgILACAxgQUAkJjAAgBITGABACQmsHbDhg0bYvz48dG7d%2B/YZ5994gMf%2BEDU1tbmPRYA0EGV5T1AR/fSSy/FqFGj4iMf%2BUj87ne/i759%2B8azzz4b%2B%2B23X96jAQAdlMBqw9VXXx0DBw6MhQsXNq%2B9733vy28gAKDD8xZhG5YuXRojRoyIM844I/r27RvDhg2LBQsW5D0WANCBCaw2PPfcczFv3rw47LDD4t57742JEyfGJZdcEj/5yU92%2BZzGxsZoaGhocQMAOg9vEbahqakpRowYEXPmzImIiGHDhsVTTz0V8%2BbNi/POO%2B9tn1NTUxNXXnlle44JAHQgzmC1oV%2B/fnHEEUe0WBs8eHCsX79%2Bl8%2BZMWNG1NfXN9/q6ur29JgAQAfiDFYbRo0aFU8//XSLtXXr1sUhhxyyy%2BeUl5dHeXn5nh4NAOignMFqw6WXXhqrVq2KOXPmxN/%2B9re4/fbbY/78%2BTFp0qS8RwMAOiiB1YaRI0fG3XffHXfccUcMHTo0vv3tb8fcuXPjnHPOyXs0AKCD8hbhbhg3blyMGzcu7zEAgL2EM1gAAIkJLACAxAQWAEBihQ6s2267LV577bW8xwAAOplCB9bUqVOjsrIyLrroonjkkUfyHgcA6CQKHVgvvvhi3HrrrbFx48YYPXp0DBkyJK6//vrYsmVL3qMBAAVW6MAqKyuL008/PZYuXRrr16%2BPCRMmxK233hoDBgyI008/PX7zm99ElmV5jwkAFEyhA%2ButKisr4%2BSTT44TTzwxSkpKYvXq1XH22WfHYYcdFitWrMh7PACgQAofWFu3bo25c%2BfG0UcfHaNGjYrNmzfHL37xi3j%2B%2Bedjw4YNMW7cuDjvvPPyHhMAKJBCf5L7pz/96fjtb38bVVVV8fnPfz4mTJgQ733ve5sff8973hOXX3553HjjjTlOCQAUTaEDq1evXnH//ffH8ccfv8tj%2BvXrF88880w7TgUAFF2hA2vRokVtHlNSUhLvf//722EaAKCzKPQ1WJdeemncdNNNrda///3vx1e%2B8pUcJgIAOoNCB9bPf/7z%2BNCHPtRq/dhjj40lS5bkMBEA0BkUOrC2bt0a%2B%2B%2B/f6v1Xr16xdatW3OYCADoDAodWO9///vj3nvvbbV%2B7733RlVVVQ4TAQCdQaEvcq%2Buro7q6ur417/%2BFSeddFJERDzwwANxzTXXxHXXXZfzdABAURU6sL7whS/Ea6%2B9FnPmzIlvfvObERExYMCAuPHGG%2BPCCy/MeToAoKgKHVgREZMnT47JkyfHxo0bo0ePHrHffvvlPRIAUHCFD6w39evXL%2B8RAIBOotAXuW/ZsiUuuOCCOPjgg6N79%2B7RrVu3FjcAgD2h0Gewzj///Hj22Wfjsssui379%2BkVJSUneIwEAnUChA%2Buhhx6Khx56KIYNG5b3KABAJ1LotwgHDBjgrBUA0O4KHVjf%2Bc53YsaMGfHCCy/kPQoA0IkU%2Bi3Cc889N7Zt2xaHHHJI9OrVK7p27dri8c2bN%2Bc0GQBQZIUOrKuuuirvEQCATqjQgfW5z30u7xEAgE6o0NdgRUT84x//iFmzZsW5557b/JbgfffdF3/9619zngwAKKpCB9aKFStiyJAhsXz58rjzzjtj%2B/btERGxZs2auOKKK3KeDgAoqkIH1rRp02LWrFnxhz/8ocUnt5900kmxatWqHCcDAIqs0IH1xBNPxGc%2B85lW63379o0tW7bkMBEA0BkUOrD222%2B/2LRpU6v1xx57LA466KAcJgIAOoNCB9aZZ54Z06dPjy1btjR/ovuf/vSn%2BOpXvxrjx4/PeToAoKgKHVhz5syJysrK6NevX2zfvj2OOOKIOO6442LkyJHxjW98I%2B/xAICCKvTnYHXr1i2WLFkS69atizVr1kRTU1Mcc8wxMWjQoLxHAwAKrNCB9abDDz88Dj/88LzHAAA6iUIH1he/%2BMX/%2Bvj8%2BfPbaRIAoDMpdGBt3Lixxf033ngjnnrqqdi2bVuccMIJOU0FABRdoQPrV7/6Vau1HTt2xJe%2B9KUYPHhwDhMBAJ1BoX%2BK8O2UlZXFV7/61bj22mvzHgUAKKhOF1gREc8991y88cYbeY8BABRUod8ivPzyy1vcz7IsNm7cGEuXLo1zzjknp6kAgKIrdGD98Y9/bHG/S5cu8d73vjeuuuqq%2BMIXvpDTVABA0RU6sFasWJH3CABAJ9Qpr8ECANiTCn0Ga%2BTIkc2/5LktjzzyyB6eBgDoLAodWB/5yEfiBz/4QRx%2B%2BOFx7LHHRkTEqlWr4umnn46LLrooysvLc54QACiiQgfWv//975g0aVLMmTOnxfrMmTPjn//8Z/zwhz/MaTIAoMgKfQ3WnXfeGRdccEGr9fPPPz9%2B/vOf5zARANAZFDqwysvLY%2BXKla3WV65c6e1BAGCPKfRbhJdccklMnDgx1q5dGx/60Ici4j/XYC1YsCC%2B9rWv5TwdAFBUhQ6smTNnRlVVVXz3u9%2BNW2%2B9NSIiBg8eHAsWLIizzz475%2BkAgKIqdGBFRJx99tliCgBoV4W%2BBisioqGhIX784x/HFVdcES%2B99FJERDz%2B%2BOOxcePGnCcDAIqq0Gew/vznP8cpp5wS%2B%2ByzT9TV1cX5558f%2B%2B%2B/f9x5553xwgsvxKJFi/IeEQAooEKfwbr00kvj7LPPjmeffTa6d%2B/evD527Nh46KGHcpwMACiyQgfWo48%2BGl/%2B8pdb/bqcgw466F2/RVhTUxMlJSVRXV2dYkQAoIAKHVjdunWL7du3t1p/5plnok%2BfPu/49R599NGYP39%2BHHXUUSnGAwAKqtCB9clPfjK%2B/e1vx44dOyIioqSkJDZs2BDTp0%2BP008//R291vbt2%2BOcc86JBQsWxP77778nxgUACqLQgXX99dfHiy%2B%2BGJWVlfHqq6/GSSedFIceemh079691e8nbMukSZNi7Nixccopp%2ByhaQGAoij0TxFWVFTEypUrY9myZbFmzZpoamqKY445Jj72sY%2B1ui7rv1m8eHHU1tbG6tWrd%2Bv4xsbGaGxsbL7f0NDwjmcHAPZehQ2sN954I0499dS4%2BeabY8yYMTFmzJh39Tp1dXUxZcqUuO%2B%2B%2B1r8JOJ/U1NTE1deeeW7%2BnoAwN6vsG8Rdu3aNdauXfuOzlS9ndra2ti8eXMMHz48ysrKoqysLJYvXx433nhjlJWVxc6dO1s9Z8aMGVFfX998q6ur%2B1/NAADsXQp7BisiYvz48bFw4cKYPXv2u36Nk08%2BOZ588skWaxdccEEMGjQopk2bFqWlpa2eU15eHuXl5e/6awIAe7dCB1ZExE033RT3339/jBgxIvbdd98Wj11zzTVtPr9nz54xdOjQFmv77rtv9O7du9U6AEBEwQOrtra2%2BTOrnnjiiRaP/W/fOgQA2JVCBtZzzz0XVVVVsWLFij3y%2Bg8%2B%2BOAeeV0AoBgKeZH7YYcdFlu2bGm%2B/9nPfjb%2B%2Bc9/5jgRANCZFDKwsixrcf%2B3v/1tvPzyyzlNAwB0NoUMLACAPBUysEpKSlpdxO6idgCgvRTyIvcsy%2BL8889v/iyq1157LSZOnNjqYxruuuuuPMYDAAqukIE1YcKEFvfHjx%2Bf0yQAQGdUyMBauHBh3iMAAJ1YIa/BAgDIk8ACAEhMYAEAJCawAAASE1gAAIkJLACAxAQWAEBiAgsAIDGBBQCQmMACAEhMYAEAJCawAAASE1gAAIkJLACAxAQWAEBiAgsAIDGBBQCQmMACAEhMYAEAJCawAAASE1gAAIkJLACAxAQWAEBiAgsAIDGBBQCQmMACAEhMYAEAJCawAAASE1gAAIkJLACAxAQWAEBiAgsAIDGBBQCQmMACAEhMYAEAJCawAAASE1gAAIkJLACAxAQWAEBiAgsAIDGBBQCQmMACAEhMYAEAJCawAAASE1gAAIkJLACAxAQWAEBiAgsAIDGBBQCQmMACAEhMYO2GmpqaGDlyZPTs2TP69u0bp512Wjz99NN5jwUAdFACazcsX748Jk2aFKtWrYply5bFjh07YsyYMfHyyy/nPRoA0AGV5T3A3uCee%2B5pcX/hwoXRt2/fqK2tjRNOOCGnqQCAjkpgvQv19fUREXHAAQe87eONjY3R2NjYfL%2BhoaFd5gIAOgZvEb5DWZbF1KlTY/To0TF06NC3PaampiYqKiqabwMHDmznKQGAPAmsd%2Bjiiy%2BOJ554Iu64445dHjNjxoyor69vvtXV1bXjhABA3rxF%2BA5Mnjw5li5dGg899FAMGDBgl8eVl5dHeXl5O04GAHQkAms3ZFkWkydPjrvvvjsefPDBqKqqynskAKADE1i7YdKkSXH77bfHL3/5y%2BjZs2ds2rQpIiIqKiqiR48eOU8HAHQ0rsHaDfPmzYv6%2Bvo48cQTo1%2B/fs23JUuW5D0aANABOYO1G7Isy3sEAGAv4gwWAEBiAgsAIDGBBQCQmMACAEhMYAEAJCawAAASE1gAAIkJLACAxAQWAEBiAgsAIDGBBQCQmMACAEhMYAEAJCawAAASE1gAAIkJLACAxAQWAEBiAgsAIDGBBQCQmMACAEhMYAEAJCawAAASE1gAAIkJLACAxAQWAEBiAgsAIDGBBQCQmMACAEhMYAEAJCawAAASE1gAAIkJLACAxAQWAEBiAgsAIDGBBQCQmMACAEhMYAEAJCawAAASE1gAAIkJLACAxAQWAEBiAgsAIDGBBQCQmMACAEhMYAEAJCawAAASE1gAAIkJLACAxAQWAEBiAgsAIDGBBQCQmMACAEhMYAEAJCawAAASE1gAAIkJLACAxAQWAEBiAms33XzzzVFVVRXdu3eP4cOHx4oVK/IeCQDooATWbliyZElUV1fHzJkzY%2B3atXH88cfHxz/%2B8Vi/fn3eowEAHZDA2g033HBDfO5zn4vPf/7zMXjw4Jg7d24MHDgw5s2bl/doAEAHVJb3AB3d66%2B/HrW1tTF9%2BvQW62PGjImVK1e%2B7XMaGxujsbGx%2BX59fX1ERDQ0NCSfb2fjy8lfEwDa2574O/LN18yyLPlrt0VgtWHr1q2xc%2BfOOPDAA1usH3jggbFp06a3fU5NTU1ceeWVrdYHDhy4R2YEgL1dxfV77rW3bdsWFRUVe%2B4LvA2BtZtKSkpa3M%2ByrNXam2bMmBFTp05tvt/U1BT/8z//E717997lc96NhoaGGDhwYNTV1UWvXr2SvS7p2KOOzx51fPao4%2Buoe5RlWWzbti369%2B/f7l9bYLWhT58%2BUVpa2ups1ebNm1ud1XpTeXl5lJeXt1jbb7/99tiMvXr16lDf0LRmjzo%2Be9Tx2aOOryPuUXufuXqTi9zb0K1btxg%2BfHgsW7asxfqyZcviuOOOy2kqAKAjcwZrN0ydOjXOPffcGDFiRBx77LExf/78WL9%2BfUycODHv0QCADqh01qxZs/IeoqMbOnRo9O7dO%2BbMmRPXXXddvPrqq/HTn/40jj766LxHi9LS0jjxxBOjrEwrd1T2qOOzRx2fPer47FFLJVkeP7sIAFBgrsECAEhMYAEAJCawAAASE1gAAIkJrL3UzTffHFVVVdG9e/cYPnx4rFixIu%2BROq2ampoYOXJk9OzZM/r27RunnXZaPP300y2OaWxsjMmTJ0efPn1i3333jU9%2B8pPxwgsv5DQxNTU1UVJSEtXV1c1r9ih/GzZsiPHjx0fv3r1jn332iQ984ANRW1vb/HiWZTFr1qzo379/9OjRI0488cR46qmncpy489mxY0d8/etfj6qqqujRo0cceuih8a1vfSuampqaj7FP/yGw9kJLliyJ6urqmDlzZqxduzaOP/74%2BPjHPx7r16/Pe7ROafny5TFp0qRYtWpVLFu2LHbs2BFjxoyJl1/%2B/7%2BIu7q6Ou6%2B%2B%2B5YvHhxPPzww7F9%2B/YYN25c7Ny5M8fJO6dHH3005s%2BfH0cddVSLdXuUr5deeilGjRoVXbt2jd/97nfxl7/8Ja6//voWvwXjmmuuiRtuuCFuuummePTRR6OysjI%2B%2BtGPxrZt23KcvHO5%2Buqr45Zbbombbrop/vrXv8Y111wT1157bXzve99rPsY%2B/T8Ze50PfvCD2cSJE1usDRo0KJs%2BfXpOE/FWmzdvziIiW758eZZlWfbvf/8769q1a7Z48eLmYzZs2JB16dIlu%2Beee/Ias1Patm1bdthhh2XLli3LPvzhD2dTpkzJsswedQTTpk3LRo8evcvHm5qassrKyuyqq65qXnvttdeyioqK7JZbbmmPEcmybOzYsdmFF17YYu3000/Pxo8fn2WZfXorZ7D2Mq%2B//nrU1tbGmDFjWqyPGTMmVq5cmdNUvFV9fX1ERBxwwAEREVFbWxtvvPFGiz3r379/DB061J61s0mTJsXYsWPjlFNOabFuj/K3dOnSGDFiRJxxxhnRt2/fGDZsWCxYsKD58b///e%2BxadOmFntUXl4eH/7wh%2B1ROxo9enQ88MADsW7duoiIePzxx%2BPhhx%2BOU089NSLs01v5uNW9zNatW2Pnzp2tftH0gQce2OoXUtP%2BsiyLqVOnxujRo2Po0KEREbFp06bo1q1b7L///i2OtWfta/HixVFbWxurV69u9Zg9yt9zzz0X8%2BbNi6lTp8bXvva1eOSRR%2BKSSy6J8vLyOO%2B885r34e3%2B7Hv%2B%2BefzGLlTmjZtWtTX18egQYOitLQ0du7cGbNnz46zzjorIsI%2BvYXA2kuVlJS0uJ9lWas12t/FF18cTzzxRDz88MNtHmvP2k9dXV1MmTIl7rvvvujevftuP88etZ%2BmpqYYMWJEzJkzJyIihg0bFk899VTMmzcvzjvvvObj/NmXryVLlsRtt90Wt99%2BewwZMiQee%2ByxqK6ujv79%2B8eECROaj7NPLnLf6/Tp0ydKS0tb/at68%2BbNrf7FQPuaPHlyLF26NP7whz/EgAEDmtcrKyvj9ddfj5deeqnF8fas/dTW1sbmzZtj%2BPDhUVZWFmVlZbF8%2BfK48cYbo6ysLA488EB7lLN%2B/frFEUcc0WJt8ODBzT%2B8U1lZGRHhz76cXXbZZTF9%2BvQ488wz48gjj4xzzz03Lr300qipqYkI%2B/RWAmsv061btxg%2BfHgsW7asxfqyZcviuOOOy2mqzi3Lsrj44ovjrrvuit///vdRVVXV4vHhw4dH165dW%2BzZxo0b489//rM9aycnn3xyPPnkk/HYY48130aMGBHnnHNO83/bo3yNGjWq1cebrFu3Lg455JCIiKiqqorKysoWe/T666/H8uXL7VE7euWVV6JLl5bpUFpa2vwxDfbpLXK8wJ53afHixVnXrl2zH/3oR9lf/vKXrLq6Ott3332zf/zjH3mP1il96UtfyioqKrIHH3ww27hxY/PtlVdeaT5m4sSJ2YABA7L7778/W7NmTXbSSSdlRx99dLZjx44cJ%2B/c3vpThFlmj/L2yCOPZGVlZdns2bOzZ555JvvZz36W7bPPPtltt93WfMxVV12VVVRUZHfddVf25JNPZmeddVbWr1%2B/rKGhIcfJO5cJEyZkBx10UPbrX/86%2B/vf/57dddddWZ8%2BfbLLL7%2B8%2BRj79B8Cay/1/e9/PzvkkEOybt26Zcccc0zzRwLQ/iLibW8LFy5sPubVV1/NLr744uyAAw7IevTokY0bNy5bv359fkPTKrDsUf5%2B9atfZUOHDs3Ky8uzQYMGZfPnz2/xeFNTU/bNb34zq6yszMrLy7MTTjghe/LJJ3OatnNqaGjIpkyZkh188MFZ9%2B7ds0MPPTSbOXNm1tjY2HyMffqPkizLsjzPoAEAFI1rsAAAEhNYAACJCSwAgMQEFgBAYgILACAxgQUAkJjAAgBITGABACQmsAAAEhNYAACJCSwAgMQEFgBAYgILACAxgQUAkJjAAgBITGABACQmsAAAEhNYAACJ/V/kdWsHfgLSYQAAAABJRU5ErkJggg%3D%3D\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-9112353636316161705\">\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">83</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">1.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">30</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">1.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">22</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">1.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">23</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">1.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">24</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">1.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">25</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">1.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">26</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">1.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">27</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">1.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">28</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">1.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">29</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">1.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"other\">\n",
       "        <td class=\"fillremaining\">Other values (74)</td>\n",
       "        <td class=\"number\">74</td>\n",
       "        <td class=\"number\">88.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme-9112353636316161705\">\n",
       "            <p class=\"h4\">Minimum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">0</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">1.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">1.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">1.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">1.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">1.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "            <p class=\"h4\">Maximum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">79</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">1.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">80</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">1.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">81</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">1.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">82</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">1.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">83</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">1.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_item_category_name\">item_category_name<br/>\n",
       "            <small>Categorical, Unique</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-3 collapse in\" id=\"minivalues-4561615880879783701\"><table border=\"1\" class=\"dataframe example_values\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>First 3 values</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>Игры Android - Цифра</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Игры - PSP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Игры PC - Дополнительные издания</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table></div>\n",
       "<div class=\"col-md-6 collapse in\" id=\"minivalues-4561615880879783701\"><table border=\"1\" class=\"dataframe example_values\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Last 3 values</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>Подарки - Сувениры (в навеску)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Игровые консоли - PS4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Игровые консоли - Прочие</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table></div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#values-4561615880879783701,#minivalues-4561615880879783701\" aria-expanded=\"false\"\n",
       "       aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"col-md-12 collapse\" id=\"values-4561615880879783701\">\n",
       "    <p class=\"h4\">First 10 values</p>\n",
       "    \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">PC - Гарнитуры/Наушники</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">1.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Аксессуары - PS2</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">1.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Аксессуары - PS3</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">1.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Аксессуары - PS4</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">1.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Аксессуары - PSP</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">1.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "    <p class=\"h4\">Last 10 values</p>\n",
       "    \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">Служебные</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">1.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Служебные - Билеты</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">1.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Чистые носители (шпиль)</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">1.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Чистые носители (штучные)</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">1.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Элементы питания</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">1.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "    <div class=\"row headerrow highlight\">\n",
       "        <h1>Correlations</h1>\n",
       "    </div>\n",
       "    <div class=\"row variablerow\">\n",
       "    <img src=\"%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJzs3Xl4jXfC//FPIpHNEtMkdhONhFoTCVFFxfIY%2Bzoyj9qqdFokKK3ptKodS2smnY5KqccYftQz0lpaSsuUVo1BLGGUUrE1CImkyCqJnN8fxnmc5lbhPreIvl/XlavyvZd8871czcfne%2B4TF5vNZhMAAADgZK5lPQEAAAA8nAiaAAAAsARBEwAAAJYgaAIAAMASBE0AAABYgqAJAAAASxA0AQAAYAmCJgAAACxB0AQAAIAl3Mp6AgBwJ2fPnlXnzp1ve9zd3V2VKlVSYGCgOnbsqKFDh6pSpUr3cYYAACMu/ApKAA%2B6W4NmSEhIiRBZWFiozMxMnTt3TpJUq1YtLV26VL/85S/v%2B1wBAP%2BHoAnggXdr0Fy2bJkiIyMNz9u9e7fGjh2r7OxshYWFaeXKlfdzmgCAH%2BE1mgAeGpGRkXrhhRckSUlJSfrmm2/KeEYA8PNG0ATwUOnatav9zwcPHizDmQAAeBgIwEOlcuXK9j/n5OQ4HNuzZ4%2BWL1%2Bu/fv36/Lly6pSpYpCQ0M1bNgwPf7444b3u3r1qlauXKlt27YpOTlZ2dnZ8vLyUr169RQVFaXhw4eratWqDtc0bNhQkrRjxw699dZb2rJli1xdXdWkSRP97W9/k5ubmw4ePKilS5fqyJEjSk1NlYeHh%2BrXr68uXbpoyJAhhg8z5efna%2BXKldq4caOSk5NVWFio6tWrq23btho1apQCAwMdzt%2B9e7eGDx%2BuFi1aaMWKFVq%2BfLk%2B/vhjnTlzRu7u7mrSpImGDRumLl263MtSA8AdETQBPFTOnDlj/3ONGjXsf46Li9OiRYskSVWrVlVISIjS0tK0ZcsWbdmyRaNHj9aLL77ocK/Tp09r5MiRSk1NlZubm%2BrVq6fatWvr3LlzOnz4sA4fPqwNGzZo9erV8vHxKTGXmJgYJSUlKSQkRJmZmfL395ebm5s2b96sSZMmqaioSNWqVVODBg2Uk5Ojf//73zp48KDWrVunlStXOoTNCxcu6Omnn9bJkyclSYGBgfLx8dGJEyeUkJCgjz/%2BWG%2B99ZZ69OhRYh6FhYUaM2aMdu7cqWrVqikoKEinTp3Srl27tGvXLr3%2B%2Buv67//%2Bb3MLDwBGbADwgEtJSbGFhITYQkJCbLt27frJc1966SVbSEiIrUmTJrb09HSbzWaz/f3vf7eFhITYIiIibJ988on93OLiYtuGDRtsoaGhtpCQENuHH37ocK%2BhQ4faQkJCbIMHD7ZdvHjR4bq1a9faGjVqZAsJCbF98MEHDtfdnGvTpk1tiYmJNpvNZrt%2B/brthx9%2BsF2/ft32xBNP2EJCQmyLFi2yFRUV2a/75ptvbG3atLGFhITYFi5caB8vKiqy9e3b1xYSEmLr1q2b7dtvv7Ufy8rKsr3yyiv27/nAgQP2Y7t27bLPJTQ01LZu3Tr7satXr9pGjBhhCwkJsbVu3dpWWFj4k%2BsKAPeC12gCKPfy8/N15MgRTZ8%2BXR9//LEkaeTIkfLz81NBQYHmzZsnSZo9e7b69Oljv87FxUU9evSwN5nz5s1TUVGRJCkjI0PHjx%2BXJM2YMUMBAQEO1/Xr10%2BtW7eWJB07dsxwXt27d1erVq0kSa6urvL19VVmZqbS09MlSYMHD1aFChXs5zdp0kSTJk1Sly5d5Ovrax///PPP9e2338rDw0OLFi1So0aN7McqVaqkmTNnqn379iosLNQ777xjOJfY2Fj17t3b/nnlypXt3/fly5d16tSp26wuANw7ts4BlCvDhw%2B/4zm//vWvNWHCBEk3nj6/dOmSfHx8bvum73369NGMGTN08eJFHTlyRM2bN9cjjzyiXbt2KT8/X56eniWuuX79un1rOz8/3/C%2B4eHhJcaqVaumqlWr6sqVK5oyZYqef/55tWjRQq6uN/7dP3jwYA0ePNjhmq1bt0qSOnXqpLp16xp%2Braefflrbt29XYmKisrKyHF6rKklRUVElrgkKCrL/%2BerVq4b3BQAzCJoAypUfv2G7i4uLPDw85Ovrq4YNG6pLly5q0KCB/fjNVrKwsFBPPfXUbe9boUIFFRcX6%2BTJk2revLl93NPTU6mpqTp48KC%2B//57paSk6MSJE/r222%2BVm5srSSouLja8p7%2B/v%2BHXmTJliqZNm6Zt27Zp27Ztqlq1qiIjI/XEE0%2BoY8eODq8tlWRvG5s0aXLb%2Bd88dv36dZ05c0ZNmzZ1OF69evUS19waoK9fv37bewPAvSJoAihXXn311du%2BYbuRrKwsSVJBQYH2799/x/NvbfZOnjypP/7xj9q2bZtDmKxUqZIiIiKUlpamo0eP3vZeRk2odKO1/OUvf6klS5boX//6l65cuaLNmzdr8%2BbNcnFxUceOHfX666/bA2d2drYklWgpb3Vr%2BP7x0/bSjV/T%2BVNs/O4OABYgaAJ4qHl5eUm60fitWbOm1NdlZGRo6NChysjIUK1atTR48GA1btxYjz76qOrUqSMXFxdNnjz5J4PmT4mMjFRkZKTy8/O1d%2B9e7dmzR9u3b9fhw4f15ZdfKjU1VR9//LFcXFzsT7TfDM1Gbg3IRk/AA0BZIGgCeKjVr19f0o23KioqKpKbW8n/7dlsNu3evVs1atRQrVq1VLFiRa1evVoZGRny9fXV6tWr9Ytf/KLEdRcvXrzr%2BRQUFCglJUXZ2dlq0aKFPD091a5dO7Vr106TJk3Shg0b9MILL%2Bjo0aM6duyYGjVqpEcffVRHjhzR4cOHb3vfQ4cOSbrxUoJ69erd9bwAwAo8dQ7godaqVStVrlxZOTk5t200169frxEjRqh79%2B66cOGCpBu/X12SatWqZRgyk5OTdeDAAUl39/rGr7/%2BWj169NCzzz6rgoKCEsfbtm1r//PN%2B958kGfr1q1KSUkxvO%2ByZcskSaGhoapSpUqp5wMAViJoAnioeXt769lnn5UkzZo1S6tXr3Z4veUXX3yh6dOnS7rxdkQ328BHH31UknT06FFt2rTJfr7NZtPXX3%2Bt0aNHq7CwUJKUl5dX6vl06NBB1apV0%2BXLlzV16lRdvnzZfiwnJ0dz5syRJNWsWVPBwcGSpF/96ldq2LChrl27pjFjxjhs12dnZ2vatGn65z//KTc3N02ZMqX0iwMAFmPrHMBDb8yYMUpJSdGHH36o3//%2B9/rTn/6kOnXq6OLFi0pLS5MktWzZUjNnzrRfM2jQIP3v//6vzpw5o9jYWNWuXVvVqlVTamqqMjIy5O7urtatWysxMfGuttArVqyouXPn6plnntHGjRu1ZcsW1atXT66urkpJSVFubq68vLz01ltvqWLFipIkNzc3zZ8/X2PGjNHJkyfVt29fh98MdPMtmN544w1FREQ4d/EAwASCJoCHnouLi2bMmKFu3bpp5cqVOnDggP0N0ENDQ9WrVy9FR0fbg5104ynuVatWadGiRfryyy919uxZXbp0STVq1FDHjh01YsQIeXt7q0uXLjp69KjOnz%2BvWrVqlWo%2BkZGR%2Buijj7RkyRLt27dPp0%2Bflpubm2rUqKF27dpp1KhRJe5Vp04drV69Wn//%2B9/1%2Beef68SJE7pw4YJq1qyp9u3b66mnnirxu84BoKy52HhPCwAAAFiA12gCAADAEgRNAAAAWIKgCQAAAEsQNAEAAMqZzMxMde3aVbt3777tOdu2bVPv3r0VGhqq7t2768svv3Q4vmjRInXo0EGhoaEaNmyYTp486fR5EjQBAADKkX379ik6Olrff//9bc85ffq0YmJiNGHCBO3du1cxMTGaOHGi/e3Y1q5dq%2BXLl2vx4sXavXu3mjRpotjYWDn7GXGCJgAAQDmxdu1aTZkyRZMmTbrjeREREerSpYvc3NzUo0cPtWrVSgkJCZKkDz/8UEOGDFFwcLA8PDw0efJknT9//icb0ntB0AQAALhP0tLSdPjwYYePm784ojTatWunf/zjH%2BrRo8dPnpecnKyQkBCHsQYNGth/s9iPj7u7uyswMNDhN485A2/Yjv/j4lLWMwDKv/r1pePHpeBg6dSpsp4N8HAoq7f8tuDnYsK77yo%2BPt5hbPz48YqJiSnV9f7%2B/qU6LycnR15eXg5jnp6eys3NLdVxZyFoAoAz%2BfpKFSrc%2BC8A/Eh0dLQ6derkMFba8Hg3vLy8lJ%2Bf7zCWn58vHx%2BfUh13FoImAACAEVfnv8IwICBAAQEBTr/vj4WEhOjw4cMOY8nJyWratKkkKTg4WMePH1dUVJQkqbCwUKdPny6x3W4Wr9EEAAB4yPTp00eJiYnauHGjioqKtHHjRiUmJqpv376SpIEDB%2BqDDz7Q0aNHde3aNb399tvy8/NTRESEU%2BdBowkAAGDEgkbTSmFhYXrjjTfUp08fBQUF6b333lNcXJxeeeUV1a5dW/PmzVP9%2BvUlSYMGDVJWVpbGjRunzMxMNWvWTAsXLpS7u7tT5%2BRic/YbJqH84mEgwLywMGn/fqllSykpqaxnAzwcyiqqeHg4/57Xrjn/ng%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%2B/btcxjLzc1VdHS0/vCHP%2BjSpUt64okn5O3tbT9erVo1bd261anzJWgCAAAYeQAbzYkTJ6p69eravn27Ll26pOeff15Lly7V6NGjHc7761//6vD5qlWrFB8fr/Hjx0uSDh06pNq1azs9WP7Yg7eCAAAAKOHMmTNKTEzUiy%2B%2BKC8vL9WtW1djx47VihUrfvK6kydPasaMGYqLi1NAQICkG0GzadOmls%2BZRhMAAMCIBY1mWlqa0tPTHcb8/f3tAfCnHD9%2BXL6%2Bvqpevbp9LCgoSOfPn9fVq1dVpUoVw%2BveeOMN9evXTxEREfaxQ4cO6cqVK%2BrVq5cuXbqkZs2aaerUqWrQoME9fmfGCJoAAABGLAiaCQkJio%2BPdxgbP368YmJi7nhtTk6OvLy8HMZufp6bm2sYNPfu3auDBw8qLi7OYbxKlSpq0KCBxowZo4oVK2ru3Ll6%2BumntXHjRlWuXPluv63bImgCAADcJ9HR0erUqZPDmL%2B/f6mu9fb2Vl5ensPYzc99fHwMr0lISFD37t1LfI23337b4fOXX35Zq1ev1t69exUVFVWq%2BZQGQRMAAMCIBY1mQEBAqbbJjQQHB%2Bvy5cu6dOmS/Pz8JEknTpxQjRo1DFvIoqIibdmyRe%2B9957DeHZ2tt577z0NHTpUtWvXliRdv35dRUVF8vT0vKe53Q4PAwEAAJQDgYGBCg8P1%2BzZs5Wdna2UlBTNnz9fgwYNMjz/2LFjunbtmlq2bOkwXqlSJf3rX//SnDlzlJWVpZycHM2YMUN16tRxeB2nMxA0AQAAjLi6Ov/DpHfffVdFRUXq3LmzBg8erPbt22vs2LGSpLCwMK1bt85%2BbkpKiqpWrSoPD48S95k/f76Ki4vVpUsXtW/fXunp6Vq0aJHc3d1Nz/FWLjabzebUO6L8cnEp6xkA5V9YmLR/v9SypZSUVNazAR4OZRVVunVz/j03bXL%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%2Bant%2BPETQBAADKgTNnzigxMVEvvviivLy8VLduXY0dO1YrVqwocW5KSoquXLmixo0bG97ro48%2B0pgxY1SzZk1VqlRJr7zyir7%2B%2BmulpKQ4dc68RhMAAMCIBa/RTEtLU3p6usOYv7%2B/AgIC7njt8ePH5evrq%2BrVq9vHgoKCdP78eV29elVVqlSxjx86dEg%2BPj6aNGmSDh06JD8/P40cOVKDBg1SVlaWLly4oJCQEPv5fn5%2Bqlq1qo4dO6a6des64Tu9gaAJAABgxIKgmZCQoPj4eIex8ePHKyYm5o7X5uTkyMvLy2Hs5ue5ubkOQbOgoEChoaGaNGmSgoODtXv3bsXExMjHx0dhYWGSJG9vb4d7eXp6Kicn556%2Br9shaAIAANwn0dHR6tSpk8OYv79/qa719vZWXl6ew9jNz318fBzG%2B/Xrp379%2Btk/b9eunfr166fPPvtMbdu2dbj2pvz8/BL3MYugCQAAYMSCRjMgIKBU2%2BRGgoODdfnyZV26dEl%2Bfn6SpBMnTqhGjRqqXLmyw7mrVq2Sj4%2BPunfvbh8rKCiQh4eHqlatqurVqys5Odm%2BfZ6enq7Lly87bKc7Aw8DAQAAlAOBgYEKDw/X7NmzlZ2drZSUFM2fP1%2BDBg0qcW52drZmzJihI0eOqLi4WF999ZU%2B/fRTRUdHS5IGDBigBQsWKCUlRdnZ2Zo9e7Zat26tevXqOXXONJoAAABGHsA3bH/33Xf1hz/8QZ07d5arq6v69eunsWPHSpLCwsL0xhtvqE%2BfPhoxYoRyc3M1fvx4ZWRkqG7dupozZ44iIiIkSePGjVNRUZGeeuop5eTkKDIyUn/5y1%2BcPl8Xm81mc/pdUT65uJT1DIDyLyxM2r9fatlSSkoq69kAD4eyiipvvun8e778svPv%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%2Bffpo6tSpcnMrGen%2B/ve/a%2BnSpUpLS1NAQICGDx%2Bup556SpJUXFys8PBw2Ww2ubi42K/ZsWOHvL29nTZfgiYAAICRB7DRnDhxoqpXr67t27fr0qVLev7557V06VKNHj3a4bwvvvhCf/7zn7Vo0SK1aNFCBw4c0LPPPis/Pz9169ZNycnJKiws1P79%2B1WxYkXL5vvgrSAAAABKOHPmjBITE/Xiiy/Ky8tLdevW1dixY7VixYoS5168eFFjxoxRaGioXFxcFBYWpsjISO3Zs0eSdOjQITVs2NDSkCnRaAIAABizoNFMS0tTenq6w5i/v78CAgLueO3x48fl6%2Bur6tWr28eCgoJ0/vx5Xb16VVWqVLGP39wivykjI0N79uzRyy%2B/LOlG0Lx27ZoGDhyoc%2BfOKSgoSJMnT1bLli3NfHslEDQBAACMWBA0ExISFB8f7zA2fvx4xcTE3PHanJwceXl5OYzd/Dw3N9chaN4qPT1dv/3tb9W0aVP16tVLkuTp6anmzZtrwoQJqlq1qlasWKFnnnlG69atU926de/lWzNE0AQAALhPoqOj1alTJ4cxf3//Ul3r7e2tvLw8h7Gbn/v4%2BBhec%2BDAAU2YMEERERF688037Q8N/e53v3M475lnntGaNWu0bds2DR06tFTzKQ2CJgAAgBELGs2AgIBSbZMbCQ4O1uXLl3Xp0iX5%2BflJkk6cOKEaNWqocuXKJc5ftWqVZs6cqdjYWI0aNcrh2DvvvKNu3bqpcePG9rGCggJ5eHjc09xuh4eBAAAAyoHAwECFh4dr9uzZys7OVkpKiubPn69BgwaVOHfTpk16/fXXNW/evBIhU5K%2B%2B%2B47zZo1S%2Bnp6SooKFB8fLyys7PVtWtXp86ZoAkAAGDE1dX5Hya9%2B%2B67KioqUufOnTV48GC1b99eY8eOlSSFhYVp3bp1kqT4%2BHhdv35dsbGxCgsLs3%2B89tprkqQ333xT9erVU9%2B%2BfRUZGanExEQtWbJEvr6%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%2BD169eVkpLizLncF6dPny7rKQAAgPLA1dX5Hz8zd/Udnz9/XmFhYTp//rwmTZqkjz/%2B2Kp5WeLIkSPq1atXWU/jnoSFhWnv3r2Gx3bv3q2GDRve5xkBAID7LSMjQ2PHjlVERIQiIyM1a9YsFRUVGZ67bds29e7dW6Ghoerevbu%2B/PJLh%2BOLFi1Shw4dFBoaqmHDhunkyZNOn%2B9dBc1atWopKSlJtWrV0g8//OD0yVgtKytLhYWFZT2Ne5KUlKSIiIiyngYAAD8fD2CjOXHiRHl7e2v79u1atWqVdu7cqaVLl5Y47/Tp04qJidGECRO0d%2B9excTEaOLEibp48aIkae3atVq%2BfLkWL16s3bt3q0mTJoqNjZXNZjM9x1vd1Xd89uxZNWzYUCNHjtTevXu1cOFCPffcc5Kk77//Xs8995wiIyMVFRWld955RwUFBZKkNWvWaMiQIZozZ45at26tNm3aaPny5frwww8VFRWl8PBwvfbaa6Wex%2BHDhzVs2DCFhYWpXbt2mjt3rn1hVq1apQEDBigyMlJhYWH67W9/q8zMTKWkpGjMmDGSbrSDSUlJstlsWrZsmbp166aIiAgNGTJE33zzjf3r/PDDD5o0aZLCw8PVuXNnLV%2B%2BXI0bN9bZs2clSceOHdOYMWPUunVrdejQQa%2B//rqysrLs3/OAAQM0atQoRURE6P3339djjz2mCxcu2O9/6NAhhYaGKjs7%2B47fc8OGDbV7925JUlpamp577jm1bNlSnTt31o4dO0q9dgAAoHw6c%2BaMEhMT9eKLL8rLy0t169bV2LFjtWLFihLnrl27VhEREerSpYvc3NzUo0cPtWrVSgkJCZKkDz/8UEOGDFFwcLA8PDw0efJknT9/3p41nOWeHgaaOXOmXn75ZbVu3VoxMTHKzc3VyJEj1bNnT82dO1eZmZmKjY1VcXGxJk%2BeLEnat2%2Bf/uu//ku7du3SypUrNXPmTHXv3l0bN25UcnKyoqOj1bt3b7Vq1eonv/bly5c1atQoDRs2TIsXL9aFCxc0bNgwVa9eXY0bN9bMmTO1bNkyNW/eXBcuXNCIESO0bNkyTZw4UYsWLdLw4cOVlJQkSVqxYoWWLFmiBQsWKCgoSJ988omefvppffbZZ/Lz89OUKVPk4uKiLVu2qLi4WFOmTNH169cl3Qihw4cP14ABAzRv3jxlZWVpypQpeumll7RgwQJJNwLxW2%2B9pffff1/FxcVav3691q1bp2effVaS9PHHH6tbt26qVKnSXa3/pEmTVK1aNX399dfKysrS888/f1fXSzfCanp6usOYf/36CvD1vet7AbhFo0aO/wVgzn9%2BZpcJC15Tafjz199fAQEBd7z2%2BPHj8vX1VfXq1e1jQUHwLWEuAAAgAElEQVRBOn/%2BvK5evaoqVarYx5OTkxUSEuJwfYMGDXT06FH78ZsFnCS5u7srMDBQR48eVZs2be7pezPilKfOv/rqKxUUFOiFF16Qi4uLatasqQkTJig2NtYeNL29vTVixAi5uLioXbt2un79up555hl5eXmpWbNmCggI0Llz5%2B4YNL/88kt5eHho3LhxcnFxUb169bRkyRJ5e3vL19dXn376qerUqaMrV64oLS1Nv/jFL%2Bw18Y%2BtWLFCv/3tb9XoPz8QBg0apFWrVmndunXq2bOn/vnPf%2Bqzzz6T73/C1%2B9//3v17NlTkrRlyxa5u7trypQpqlChgjw9PTVt2jT17NnT/hfI3d1dffv2let//qIOGDBAa9eu1bPPPqvCwkJ9%2Bumnmjdv3l2t9blz57R3715t2rRJlSpVUqVKlTR%2B/HiNGzfuru6TkJCg%2BPh4h7HxEyYoZsKEu7oPgNv43/8t6xkADwcXlzL70jY5/2sb/vwdP14xMTF3vDYnJ0deXl4OYzc/z83NdQiaRud6enoqNze3VMedxSlB89y5c8rMzHQIiTabTYWFhcrIyJAk%2Bfr6yuU/f1luBq9bF8TV1VXFxcV3/Frp6emqWbOm/V6S9Oijj0qSCgoKtGzZMq1fv17e3t5q2LChsrOzb/t6g3PnzmnOnDmKi4uzjxUVFalp06ZKTU2VJNWpU8d%2BrG7duvY/Z2RkqFatWqpQoYJ97Oa5586dk3TjXyiut/xrqG/fvvrzn/%2BsI0eO6OzZs6pcufIdg/WP3QzNtWrVso/Vq1fvru4hSdHR0erUqZPDmH/v3tL/%2B393fS8At2jU6EbIHDJE%2Bk9zAAA3Gf789fcv1bXe3t7Ky8tzGLv5uY%2BPj8O4l5eX8vPzHcby8/Pt593puLM4JWjWqFFD9erV0%2Beff24fy87OVkZGhn7xi19IkkMwNPu1UlNTZbPZ7Pf84osvlJ2drbS0NO3YsUPr16%2BXn5%2BfJNlfQ3q7e8XGxtpbSunGa019fX3ti3/u3DnVr1/f/uebateurfPnz%2Bv69ev2sPn9999LuvEX5uTJkyW%2BZz8/P3Xo0EEbNmzQ2bNnNWDAgLtelxo1akiSUlJSFBQUJEkOr/ssrYCAgJI1/alTd30fALdx9GjZbvkBMK0U/dddM/z5W0rBwcG6fPmyLl26ZM85J06cUI0aNVS5cmWHc0NCQnT48GGHseTkZDVt2tR%2Br%2BPHjysqKkqSVFhYqNOnT5fYbjfrnl98ULFiRfuDL1FRUcrJydFf//pXFRQU6OrVq5o6daomTZrktIB5U8eOHVVUVKT3339fBQUF%2Bv777zV79mxdu3ZN2dnZcnNzk7u7u4qKivTJJ59o%2B/bt9ifNPTw8JMk%2B78GDB2vBggU6ceKEJGn79u3q2bOn9uzZo4CAAEVFRelPf/qTrly5oitXruiPf/yjfR5PPvmkJCkuLk75%2BflKT0/XrFmz1KZNG9WuXfu28x84cKD%2B8Y9/6F//%2Bpf69%2B9/199/rVq11K5dO7355pu6cuWK0tPTS1TwAADAvOJi53%2BYERgYqPDwcM2ePVvZ2dlKSUnR/PnzNWjQoBLn9unTR4mJidq4caOKioq0ceNGJSYmqm/fvpJu5JEPPvhAR48e1bVr1/T222/Lz8/P6e9wc89Bs1%2B/flq9erWGDBmiSpUqaenSpdq9e7c6dOigLl26yNXV1f5QjDNVqVJFixcv1s6dO9WuXTsNGzZMv/nNbxQdHa1Ro0apZs2aioqKUvv27bVu3ToNGTJE3333naQb6T48PFzt27fXtm3bNHLkSPXr109jx45VWFiYZs2apddee02dO3eWJM2aNUsuLi7q2LGj%2Bvfvr8aNG0u68drLypUra8mSJfruu%2B/05JNPqlevXqpdu7bmzp37k/Pv2LGjcnJy1Lx5c9WsWfOe1uDtt99W5cqVFRUVpYEDB6pt27b3dB8AAFC%2BvPvuuyoqKlLnzp01ePBgtW/fXmPHjpV041111q1bJ%2BnGQ0LvvfeeFi5cqFatWmn%2B/PmaN2%2BefZd20KBBGjlypMaNG6c2bdroyJEjWrhwodzd3Z06Xxebs98w6SGyY8cOhYeHy9PTU9KNtzPq16%2BfDhw4YG9H70X//v01ZswY9ejRw1lTdY4yfME18NAIC5P275datmTrHHCWMooq1645/54m4kO59PP7XUh3Yc6cOVqwYIGKioqUnZ2tBQsWqG3btvccMk%2BdOqWVK1cqPT1dXbp0cfJsAQAAHixOeRjImSIjI%2B1v9G5kw4YNDk9cW%2Bntt9/WzJkz1aZNG7m6uqp9%2B/YOr9O8W9OmTdOJEyf01ltvqWLFivbxAQMG6NRPPIizaNEifisQAAD3mRUPA/3csHWO/8PWOWAeW%2BeA85VRVMnJcf49nfzuQQ88ts4BAABgiQdu6xwAAOBBwNa5eTSaAAAAsASNJgAAgAEaTfMImgAAAAYImuaxdQ4AAABL0GgCAAAYoNE0j0YTAAAAlqDRBAAAMECjaR5BEwAAwABB0zy2zgEAAGAJGk0AAAADNJrm0WgCAADAEjSaAAAABmg0zSNoAgAAGCBomsfWOQAAACxBowkAAGCARtM8Gk0AAABYgkYTAADAAI2meQRNAAAAAwRN89g6BwAAgCVoNAEAAAzQaJpHowkAAABL0GgCAAAYoNE0j6AJAABggKBpHlvnAAAAsASNJgAAgAEaTfNoNAEAAGAJGk0AAAADNJrmETQBAAAMEDTNY%2BscAAAAlqDRBAAAMECjaR6NJgAAACxBowkAAGCARtM8giYAAIABgqZ5bJ0DAADAEjSaAAAABmg0zSNoAgAAGCBomsfWOQAAACxBowkAAGCARtM8giYAAMBDIjc3VzNmzNDWrVtVVFSkzp07a/r06fLx8TE8f9OmTZo/f75SUlLk6%2BurAQMGaOzYsXJ1vbHp3b17d50/f97%2BuSStWrVKQUFBpZoPQRMAAMBAeWw0Z8yYodTUVG3atEnXr1/XxIkTFRcXp%2BnTp5c495tvvtFLL72kv/zlL3ryySd16tQpjRkzRt7e3ho1apSys7N16tQpbdmyRbVr176n%2BfAaTQAAAAPFxc7/sFJeXp7Wr1%2Bv2NhY%2Bfr66pFHHtGUKVO0Zs0a5eXllTj/3Llz%2Bs1vfqOoqCi5uroqKChIXbt21Z49eyTdCKK%2Bvr73HDIlGk0AAID7Ji0tTenp6Q5j/v7%2BCggIKNX1%2Bfn5unjxouGxvLw8FRYWKiQkxD4WFBSk/Px8nT59Wo899pjD%2Bd26dVO3bt0c7v3VV1%2Bpd%2B/ekqRDhw7Jy8tLQ4cO1fHjx1W7dm3FxMQoKiqqVHOVCJoAAACGrGggExISFB8f7zA2fvx4xcTElOr6gwcPavjw4YbHJkyYIEny9va2j3l5eUmScnJyfvK%2B2dnZmjBhgjw9PTVy5EhJkouLi5o1a6YXXnhBtWrV0ueff66YmBh98MEHCg0NLdV8CZoAAAD3SXR0tDp16uQw5u/vX%2BrrIyMjdezYMcNjR44c0dy5c5WXl2d/%2BOfmlnmlSpVue8%2BTJ08qNjZWjzzyiJYtW2Y/d/To0Q7n9enTR59%2B%2Bqk2bdpE0AQAADDDikYzICCg1Nvkd6t%2B/fpyd3dXcnKyWrRoIUk6ceKE3N3dFRgYaHjNtm3b9MILL2jw4MGaPHmy3Nz%2BLxouXrxYjRs31uOPP24fKygokIeHR6nnxMNAAAAABsrbw0BeXl7q3r274uLilJmZqczMTMXFxalXr17y9PQscf6BAwc0btw4vfzyy5o6dapDyJSk1NRUvfHGG0pJSVFRUZFWrVqlpKQk9e/fv9RzcrHZbDbT3xkeDi4uZT0DoPwLC5P275datpSSksp6NsDDoYyiyj/%2B4fx7du3q/HveKjs7W3PmzNHWrVtVWFiozp07a9q0afbXbfbs2VO9e/fWc889p%2Beee05fffWV/XWcN4WHh%2Buvf/2rCgoKFBcXp88%2B%2B0xZWVlq0KCBXnzxRUVGRpZ6PgRN/B%2BCJmAeQRNwvjKKKps2Of%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%2BdOnT1fTpk0VFhZm/0hISLAfX7RokTp06KDQ0FANGzZMJ0%2BevKv5EDQBAAAeEjNmzFBqaqo2bdqkzZs3KzU1VXFxcbc9/9ChQ5oxY4aSkpLsH9HR0ZKktWvXavny5Vq8eLF2796tJk2aKDY2VjabrdTzIWgCAAAYKG%2BNZl5entavX6/Y2Fj5%2BvrqkUce0ZQpU7RmzRrl5eWVOL%2BgoEDfffedmjZtani/Dz/8UEOGDFFwcLA8PDw0efJknT9/Xrt37y71nHgYCAAAwMCD%2BDBQfn6%2BLl68aHgsLy9PhYWFCgkJsY8FBQUpPz9fp0%2Bf1mOPPeZw/tGjR1VUVKR3331X%2B/btU%2BXKlTVw4ECNHj1arq6uSk5O1pgxY%2Bznu7u7KzAwUEePHlWbNm1KNV%2BCJgAAwH2Slpam9PR0hzF/f38FBASU6vqDBw9q%2BPDhhscmTJggSfL29raPeXl5SZLh6zSzsrLUunVrDRs2TH/%2B85/17bffaty4cXJ1ddXo0aOVk5Njv/4mT09P5ebmlmquEkETAADAkBWNZkJCguLj4x3Gxo8fr5iYmFJdHxkZqWPHjhkeO3LkiObOnau8vDz5%2BPhIkn3LvFKlSiXOf%2BKJJ/TEE0/YP2/evLlGjBihjRs3avTo0fLy8lJ%2Bfr7DNfn5%2BfZ7lwZBEwAA4D6Jjo5Wp06dHMb8/f2dcu/69evL3d1dycnJatGihSTpxIkT9i3vH/viiy906dIl/eY3v7GPFRQUyNPTU5IUHBys48ePKyoqSpJUWFio06dPO2zN3wkPAwEAABiw4mGggIAANWnSxOGjtNvmd%2BLl5aXu3bsrLi5OmZmZyszMVFxcnHr16mUPj7ey2Wx68803tXPnTtlsNiUlJWnZsmX2p84HDhyoDz74QEePHtW1a9f09ttvy8/PTxEREaWeE40mAACAgQfxYaA7mT59uubMmaPevXursLBQnTt31rRp0%2BzHe/bsqd69e%2Bu5555T165d9fLLL%2Bv111/XxYsX5efnp5iYGPXt21eSNGjQIGVlZWncuHHKzMxUs2bNtHDhQrm7u5d6Pi62u3kzJDzcXFzKegZA%2BRcWJu3fL7VsKSUllfVsgIdDGUWVV15x/j1nzXL%2BPR9kNJoAAAAGymOj%2BaDhNZoAAACwBI0mAACAARpN8wiaAAAABgia5rF1DgAAAEvQaAIAABig0TSPRhMAAACWoNEEAAAwQKNpHkETAADAAEHTPLbOAQAAYAkaTQAAAAM0mubRaAIAAMASNJoAAAAGaDTNI2gCAAAYIGiax9Y5AAAALEGjCQAAYIBG0zwaTQAAAFiCRhMAAMAAjaZ5BE0AAAADBE3z2DoHAACAJWg0AQAADNBomkejCQAAAEvQaAIAABig0TSPoAkAAGCAoGkeW%2BcAAACwBI0mAACAARpN8wiaAAAABgia5rF1DgAAAEvQaAIAABig0TSPRhMAAACWoNEEAAAwQKNpHkETAADAAEHTPLbOAQAAYAkaTQAAAAM0mubRaAIAAMASNJoAAAAGaDTNI2gCAAAYIGiax9Y5AAAALEGjCQAAYIBG0zwaTQAAAFiCRhMAAMAAjaZ5BE0AAAADBE3z2DoHAACAJWg0AQAADJTHRjM3N1czZszQ1q1bVVRUpM6dO2v69Ony8fEpce5rr72m9evXO4zl5%2Berbdu2Wrx4sYqLixUeHi6bzSYXFxf7OTt27JC3t3ep5kOjCQAA8JCYMWOGUlNTtWnTJm3evFmpqamKi4szPPcPf/iDkpKS7B/z5s1TlSpV9Lvf/U6SlJycrMLCQiUmJjqcV9qQKRE0AQAADBUXO//DSnl5eVq/fr1iY2Pl6%2BurRx55RFOmTNGaNWuUl5f3k9dmZmZqypQpeuWVVxQcHCxJOnTokBo2bKiKFSve85zYOgcAADBgRTBMS0tTenq6w5i/v78CAgJKdX1%2Bfr4uXrxoeCwvL0%2BFhYUKCQmxjwUFBSk/P1%2BnT5/WY489dtv7xsXFqWnTpurTp4997NChQ7p27ZoGDhyoc%2BfOKSgoSJMnT1bLli1LNVeJoAkAAHDfJCQkKD4%2B3mFs/PjxiomJKdX1Bw8e1PDhww2PTZgwQZIctra9vLwkSTk5Obe9Z0pKitatW6ePPvrIYdzT01PNmzfXhAkTVLVqVa1YsULPPPOM1q1bp7p165ZqvgRNAAAAA1Y0mtHR0erUqZPDmL%2B/f6mvj4yM1LFjxwyPHTlyRHPnzlVeXp794Z%2BbW%2BaVKlW67T1Xr16tsLCwEo3nzddq3vTMM89ozZo12rZtm4YOHVqq%2BRI0AQAA7pOAgIBSb5Pfrfr168vd3V3Jyclq0aKFJOnEiRNyd3dXYGDgba/bvHmzRo0aVWL8nXfeUbdu3dS4cWP7WEFBgTw8PEo9Jx4GAgAAMFDeHgby8vJS9%2B7dFRcXp8zMTGVmZiouLk69evWSp6en4TU//PCDTpw4oVatWpU49t1332nWrFlKT09XQUGB4uPjlZ2dra5du5Z6TgRNAAAAA%2BUtaErS9OnTFRgYqN69e%2BtXv/qV6tSpo9dee81%2BvGfPnnr//fftn589e1aSVL169RL3evPNN1WvXj317dtXkZGRSkxM1JIlS%2BTr61vq%2BbjYbDabie8HD5Nb3owVwD0KC5P275datpSSksp6NsDDoYyiyhNPOP%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%2B7dq26du2q0NBQDRgwQElJSXc1D4ImAADAQ%2BT48eN66qmndODAgZ8878qVK3r22WfVr18/7dmzR7NmzdKbb76pf//735Kk3bt3a8aMGXrrrbe0Z88e9enTR88//7zy8vJKPReCJgAAgIHy2Gju3LlTI0aMUP/%2B/VWrVq2fPHfz5s3y9fXVU089JTc3Nz3%2B%2BOPq3bu3VqxYIUn66KOP1LNnT4WHh8vd3V0jR45UtWrVtHHjxlLPh4eBAAAADFgRDNPS0pSenu4w5u/vr4CAgFJdn5%2Bfr4sXLxoe8/f3V6NGjfTll1/Kw8NDS5Ys%2Bcl7HT9%2BXCEhIQ5jDRo00KpVqyRJycnJGjhwYInjR48eLdVcJYImbmWzlfUMgHIvLS1NCfPmKfrzz0v9gwPAg8mKH4vz5iUoPj7eYWz8%2BPGKiYkp1fUHDx7U8OHDDY%2B999576tKlS6nnkpOTIy8vL4cxT09P5ebmlup4aRA0AcCJ0tPTFR8fr06dOhE0AZQQHR2tTp06OYz5%2B/uX%2BvrIyEgdO3bMKXPx8vJSVlaWw1h%2Bfr58fHzsx/Pz80scr1atWqm/BkETAADgPgkICHhg/hEaEhKiHTt2OIwlJycrODhYkhQcHKzjx4%2BXON6hQ4dSfw0eBgIAAPgZ6tq1qy5duqSlS5eqsLBQu3bt0vr16%2B2vyxw0aJDWr1%2BvXbt2qbCwUEuXLlVGRoa6du1a6q9B0AQAAPiZ6Nmzp95//31JUrVq1fS3v/1Nn3/%2BuSIjI/Xqq6/q1VdfVZs2bSRJjz/%2BuKZPn67XX39drVu31oYNG7Ro0SL5%2BvqW%2Buu52Gw8AQIAzpKWlqaEhARFR0c/MNtjAFBWCJoAAACwBFvnAAAAsARBEwAAAJYgaAIAAMASBE0AAABYgqAJAAAASxA0AQAAYAmCJgAAACxB0AQAAIAlCJoAAACwBEETAAAAliBoAgAAwBJuZT0BACivGjVqJBcXl58859tvv71PswGABw9BEwDu0bJlyyRJO3bs0Ndff63x48erXr16Sk1N1XvvvacnnniijGcIAGXLxWaz2cp6EgBQnnXt2lUffPCBqlevbh9LT0/Xr3/9a3311VdlNzEAKGO8RhMATMrMzFSVKlUcxjw8PJSVlVVGMwKABwNBEwBMatWqlaZOnaqUlBQVFhbq5MmTmjJlip588smynhoAlCm2zgHApPT0dE2cOFH79u2zPxzUtm1bvfPOOyWaTgD4OSFoAoCTnD9/XhcvXlSNGjVUs2bNsp4OAJQ5giYA3KN9%2B/YpPDxce/bsue05rVq1uo8zAoAHC0ETAO5Ry5YttX//fjVq1MjwuIuLC%2B%2BjCeBnjaAJAPfBzfYTAH5OeOocAO6DMWPGlPUUAOC%2BI2gCwH3A5hGAnyOCJgDcB3f6negA8DAiaAIAAMASBE0AAABYgqAJAAAASxA0AQAAYAmCJgCYlJube8dzAgMDrZ8IADxgeMN2ADApLCxMv/rVrzRw4EBFRESU9XQA4IFB0AQAkw4dOqRPPvlEn376qapUqaIBAwaof//%2Bql69ellPDQDKFEETAJykqKhIW7du1caNG7Vz5041b95cAwcOVOfOneXu7l7W0wOA%2B47XaAKAk7i5ualevXqqU6eOfH199e233%2Bp//ud/1KlTJ23fvr2spwcA9x2NJgCYdPHiRa1fv16ffPKJTp06pSeffFIDBgxQx44dVaFCBa1cuVLz5s3Tjh07ynqqAHBfuZX1BACgvIuKilJQUJD69%2B%2Bvvn376pFHHnE43qZNG23YsKGMZgcAZYdGEwBMWrhwoUaOHCkPD4%2ByngoAPFB4jSYAmLR48WK5uvK/UwD4Mf7PCAAmNWvWTBs3bizraQDAA%2Bf/t3d/IVXffxzHX99Sm80/4fpzjidpNAjDojC6SPojjSAoVk1oTN0qg2JEeNFFf266aUhEf2xFUW2O/i2yaG3musgJo7G1tqDIzIKY2iktPFYctZV6dvEj4dCvmz6e8z7D5%2BPy8/XidRWvPn/eh6NzAHBUVFSkhoYGpaSkaPTo0fI8b%2BBbXV2dYTIAsMVjIABwVFpaah0BABISO5oAMEg6OjoUDAY1ZswY%2Bf1%2B6zgAYI4dTQBwFA6HtXHjRv3888%2BKRCLyPE%2BzZs3Snj17lJGRYR0PAMzwGAgAHO3cuVNdXV2qqanR9evXdf78efX392vHjh3W0QDAFEfnAOCosLBQZ8%2BejRrU/vjxY3300Uf67bffDJMBgC12NAHAUU9Pj9LT06PWMjIy1N/fb5QIABIDRRMAHE2bNk2VlZV6dUAUiURUWVmpqVOnGicDAFscnQOAo6amJn3%2B%2BedKSUlRIBBQMBiU53mqqqrSBx98YB0PAMxQNAFgEDx58kSXLl1SKBRSIBDQvHnzlJaWZh0LAExRNAHA0YMHD/7venJysjIzM5WSkhLnRACQGCiaAOAoLy/vjQ9/hg0bpoKCAm3fvl1ZWVlxTgYAtngMBACONm/erIKCgoE5mhcuXNC8efO0bt06nTt3TmlpaaqoqLCOCQBxx44mADhasGCBqqurNWrUqIG1p0%2BfqqioSJcuXVI4HNaHH36oK1euGKYEgPhjRxMAHHV2dmr48OFRa57nqaOjQ5KUmprKTE0AQxJFEwAczZkzRxs2bFBzc7Nevnyp5uZmbdmyRbNnz9aLFy%2B0d%2B9e5eXlWccEgLjj6BwAHD158kQbNmzQr7/%2BKs/zJP3vZym//PJL3b59W9u3b9euXbuYqQlgyKFoAsAgaW9vV1tbm7KzszVmzBjrOABgjqNzABgEoVBIP/30k2pqapSamqr6%2BnrrSABgjqIJAI4aGhq0cOFCXbx4UWfOnFFnZ6fKy8t19uxZ62gAYIqiCQCOKioqtGnTJp06dUpJSUnKycnR/v379fXXX1tHAwBTFE0AcHTnzh0tWbJEkgYeA82ZM0ft7e2WsQDAHEUTABxlZWXp3r17UWv37t3T6NGjjRIBQGKgaAKAo%2BLiYq1du1anT59Wb2%2BvamtrVV5erk8%2B%2BcQ6GgCYYrwRAAyCEydO6OTJkwoGg/L5fFq%2BfLlWrVo1cJQOAEMRRRMAHF2/fl3Tpk17bf2XX37R3LlzDRIBQGLg6BwAHK1ateq1tXA4rPLycoM0AJA4kqwDAMB/UXNzsxYtWqS%2Bvj5FIhFNnjz5tb/Jz883SAYAiYOjcwB4S42NjXr27JnWrKWnMwEAAAUoSURBVFmjw4cPR30bMWKEJk2apNTUVKN0AGCPogkAjlpbW5WTk2MdAwASDkUTABx1dnbq2LFjam9vV39/vyTp5cuXunPnjn744QfjdABghzuaAOBo8%2BbN%2Bvvvv5WVlaWuri75/X5dvnxZJSUl1tEAwBRFEwAcXb16VbW1tWpvb9ehQ4e0b98%2BnT9/XjU1NdbRAMAU440AwFFSUpLGjRun999/X01NTZKkRYsW6datW8bJAMAWRRMAHAUCAd28eVMZGRnq6upSKBRSd3e3nj9/bh0NAExxdA4AjoqLi/XZZ5/pwoULWrx4sVasWKGkpCTNnDnTOhoAmOLVOQAMghs3big3N1ee5%2Bnbb79VOBxWWVmZMjMzraMBgBmOzgFgENy%2BfVudnZ1KTk7W2LFjNX78eEomgCGPogkAjvbu3asDBw6op6dHkpSWlqaDBw/qyJEjxskAwBZH5wDgaO7cuTpx4kTUrwO1tLRoxYoVqq%2BvN0wGALbY0QQAR%2BFwWH6/P2rN7/eru7vbKBEAJAaKJgA4ysvL06FDh6LWvvnmG%2BXm5holAoDEwNE5ADhqaGhQWVmZUlNT5fP51NbWpt7eXh05coSyCWBIo2gCwCB4%2BvSp6uvr9ejRI/n9fhUWFio9PX3ge1tbm3w%2Bn2FCAIg/iiYAxEF%2Bfr6uXbtmHQMA4oo7mgAQB/yfHsBQRNEEgDjwPM86AgDEHUUTAAAAMUHRBAAAQExQNAEAABATFE0AAADEBEUTAOIgJSXFOgIAxB1zNAFgEPz5558KBoOvjTFaunSpUSIAsEfRBABHW7du1ZkzZzR27NioMUae56murs4wGQDYomgCgKOZM2eqqqpKU6ZMsY4CAAmFO5oA4Cg9PV2TJk2yjgEACYcdTQBwVF1drT/%2B%2BEOrV69WRkZG1Lfs7GyjVABgL8k6AAD81/3zzz%2Bqra1VTU3NwFokEpHneWpsbDRMBgC22NEEAEcFBQVav369Zs%2BerWHDom8kBQIBo1QAYI8dTQBw1NfXp08//dQ6BgAkHB4DAYCjjz/%2BWEePHrWOAQAJh6NzAHBUUlKiv/76S%2B%2B%2B%2B64yMzOjZmkyRxPAUEbRBABH586de%2BO3ZcuWxTEJACQWiiYADKJQKKSsrCzrGACQELijCQCOent7tXv3bs2YMUPz589Xa2urioqK9PjxY%2BtoAGCKogkAjr766iv9/vvvqqysVHJyst577z35fD5t27bNOhoAmGK8EQA4%2BvHHH/Xdd99p3Lhx8jxPI0eOVEVFhRYsWGAdDQBMsaMJAI66u7sH7mW%2Buvb%2BzjvvvDa8HQCGGv4VBABH06dP1759%2ByRpYLTRsWPHNHXqVMtYAGCOV%2BcA4KilpUUrV65Ub2%2BvOjo6NGHCBHV1damqqkoTJ060jgcAZiiaADAIenp6VF9frwcPHsjn86mwsFBpaWnWsQDAFEUTABx98cUXOnDgwGvrpaWlOn78uEEiAEgMvDoHgLdw//59ff/995Kky5cvD9zRfCUcDqupqckiGgAkDIomALyF7Oxs3b17V6FQSH19fbpy5UrU9xEjRmjr1q1G6QAgMXB0DgBvqa2tTT6fT2VlZW8czp6dnR3nVACQOCiaAPCW8vPzde3aNeXm5g6MNXolEonI8zw1NjYapQMAexRNAHhLDx8%2BlN/vVzAYfOPfBAKBOCYCgMRC0QQAAEBM8MtAAAAAiAmKJgAAAGKCogkAAICYoGgCAAAgJiiaAAAAiAmKJgAAAGKCogkAAICYoGgCAAAgJv4FMGVqJ8rI5JAAAAAASUVORK5CYII%3D\" class=\"center-img\">\n",
       "    <img src=\"%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJzs3XlYlWXCx/HfQZHNBVNw99VBcC8RFXNLXF7H3JeRcs%2B0UkF0tMw2K/cZzHHX15wcl5kol9KyLMvUcUpc0LEUFZfEJUDIhU1AzvuHwxlPPBr68Ija93NdXMX9LNznrit//e7zHGx2u90uAAAAoJC5FPUEAAAA8HAiaAIAAMASBE0AAABYgqAJAAAASxA0AQAAYAmCJgAAACxB0AQAAIAlCJoAAACwBEETAAAAlihe1BMA8NsWGxurtWvX6ttvv1VCQoKuXbumRx55RP7%2B/mrbtq369u0rd3f3op4mAOAu2PgVlACKyrx587R48WLl5uaqZMmSql69ulxdXZWUlKTz589LkipVqqSFCxeqfv36RTxbAMCdImgCKBLr1q3TK6%2B8Ik9PT82YMUMdO3ZUsWLFHMdPnDihV155RQcOHFDZsmW1efNmPfLII0U4YwDAneI9mgCKxJIlSyRJL730kn7/%2B987hUxJ8vPz0%2BLFi1WuXDn9/PPPWrlyZVFMEwBgAkETwD135coVnTlzRpL02GOP3fK8Rx55RB06dJAk/fvf/74ncwMAFB4eBgJwzxUv/t//9Gzbtk316tW75bnh4eEaPHiwypUr5xh7%2BeWXtWHDBk2aNEmtW7fWnDlztGfPHmVlZel//ud/1KtXLz311FNyc3MzvOeePXu0atUq7d%2B/X5cuXVLp0qXVqFEjDRo0SI8//rjhNVeuXNH777%2Bv7du3Ky4uTqmpqfLw8FD16tUVEhKiwYMHq0yZMk7X1K5dW5K0a9cuzZw5U1999ZVcXFxUv359/fWvf9Vrr72mDRs2aOrUqWratKnmz5%2Bv7777TlevXlXVqlX1hz/8QUOHDpXNZtMXX3yhv/3tbzpy5Ihyc3NVp04djRw5Uk888US%2BuWZmZmrdunXaunWrjh49qitXrqhEiRKqXLmyWrVqpWeeeUYVKlRwuqZdu3Y6d%2B6cNm/erOTkZL377rs6ePCg0tPTVbVqVXXu3FnPPvusvLy8bvnPCgB%2BifdoAigSTz/9tPbv3y%2BbzaYePXqob9%2B%2Baty4cb4tdCN5QbN3797asmWL0tPT5e/vr5ycHJ08eVKSFBQUpKVLl6pUqVJO10ZGRmrZsmWSpDJlyqhq1apKTExUUlKSJGn48OF68cUXna45ffq0hg4dqgsXLqh48eKqXr26PDw8dO7cOV26dEmSVLNmTa1bt84piOUFzcaNGysmJkYBAQFKSUlRcHCwZs%2Be7fQ6PvvsM%2BXk5MjPz0/JycmO%2BTz33HOy2WxaunSpSpcurWrVqunUqVNKT0%2BXzWbT//3f/6lNmzaOn5mSkqIhQ4bo2LFjstlsql69ukqVKqWEhATHPcuVK6f169erYsWKjuvyguYzzzyjFStWqESJEqpRo4YuX76sn376SZIUGBioNWvWFOifEQBIkuwAUAR%2B%2BOEHe6NGjewBAQGOr8aNG9tHjBhhX7p0qf3AgQP269evG147ceJExzUhISH2w4cPO47t37/f3qJFC3tAQID99ddfd7ruH//4hz0gIMDepEkT%2B8cff%2BwYz83NtX/66aeO%2BXzwwQdO1w0cONAeEBBg79evnz0hIcHpug0bNtjr1KljDwgIsK9evdrpurw5NmjQwB4dHW232%2B3269ev23/%2B%2Bed8r%2BPpp5%2B2JyYmOs55%2BeWX7QEBAfY6derYa9eubV%2B%2BfLljPVJSUuw9e/a0BwQE2AcOHGi4Nh07drSfOnXK6diOHTvsjz32mD0gIMA%2Bc%2BZMp2MhISGOubz88sv2K1euOF7j6tWrHce%2B/PJLw38mAGCE92gCKBL16tXThx9%2BqKCgIMdYamqqtm/frtmzZ6tfv35q1aqV5syZo4yMDMN7uLi4aNGiRapbt65jLDAwULNmzZIkffjhh0pISJAkZWVlaf78%2BZKk6dOnq3v37o5rbDabnnzySUeTOX/%2BfOXk5EiSkpOTdfz4cUnSlClT5Ovr63Rdz5491axZM0nS0aNHDefZuXNnNW3a1DFnb29vp%2BPFixfXO%2B%2B8Ix8fH8c5zz33nCQpNzdXPXr00LBhw%2BTicuM/2WXLltXgwYMlSYcPH3bcJycnR3v37pXNZtOkSZNUo0YNp5/TunVrPfnkk5KkY8eOGc61Tp06mj59uqMJttlsGjBggKOd3bdvn%2BF1AGCEoAmgyNSqVUt///vf9dFHHyksLEyBgYFydXV1HE9OTtaSJUvUvXt3x/btzZo3b646derkG2/VqpWqVq2q3Nxcbdu2TZIUExOjixcvysvLS%2B3btzecT/fu3eXi4qKEhARHgCtXrpy%2B%2B%2B47HTx4UAEBAfmuuX79ukqWLCnpxnsjjdwcpo3Url3baRtbkqpUqeL4e6P3YeYF3tTUVMdY8eLFtXXrVh08eFBt27bNd43dbpenp%2Bdt59q2bVvZbLZ847/73e8kSVevXr3tawGAm/EwEIAiV7duXdWtW1fh4eHKyMjQ/v379c9//lMff/yxkpOTdebMGUVERCgqKsrpukcfffSW96xdu7bOnj2r06dPS5KjlczOztaAAQNueV2xYsWUm5urkydPOt3f3d1dFy5c0MGDB3XmzBnFx8frxIkTOnLkiNLT0yXdaB%2BN5DWVt1KpUqV8YyVKlHD8fdmyZfMdv/mBql9yc3NTcnKyDhw4oNOnT%2Bvs2bM6efKkjhw5osuXL992rjc3tjfL%2B%2B1M169fv/ULAYBfIGgCuK94eHioZcuWatmypSIiIvTKK6/o008/1YEDB/TDDz84/YagXz7lfbO85u7KlSuS/tvEZWVlaf/%2B/b86j7zrJOnkyZP605/%2BpO3btzsFtJIlS6pJkyZKTExUbGzsLe/1a79C08PD47bH87bMCyIpKUmzZs3S559/ruzsbKef0bBhQ12/fv222983B1wjdp4fBXAHCJoA7rk33nhD3333nXr16qWRI0fe8jx3d3e9/fbb%2BuKLL5Sdna1Tp045Bc28JtFI3pZy3sci5YW5%2BvXra/369QWea3JysgYOHKjk5GRVrlxZ/fr1U7169fS73/1OVatWlc1m0/jx428bNO%2BVa9euaciQITpx4oS8vb319NNPq0GDBvLz81P16tVVrFgxzZkzh/dZArhnCJoA7rlr167pxx9/1NatW28bNKUbraGXl5cuXbqU71dQ5m2HG8kLfrVq1ZJ04%2BOHpBsfVZSTk2O49Wy327V7925VrFhRlStXVokSJbRu3TolJyfL29tb69atM/w1mHkPHBW1rVu36sSJEypevLiioqLyPQwkyfC9rgBgFR4GAnDP5T3x/f333/9qu/jPf/5Tly5dkre3d77fIrRjxw7HZ0PebNu2bbpw4YJKlCihdu3aSZKaNm2qUqVKKS0t7ZY/c9OmTRoyZIg6d%2B7sCGRnz56VJFWuXNkwZMbFxenAgQOSiv79i3lz9fLyMgyZFy9e1DfffCOp6OcK4LeBoAngnmvZsqU6deokSXrttdc0bdo0R0jKc%2B3aNa1bt05jx46VJEVEROT7rTTp6ekaNWqULly44BjbvXu3Jk2aJOnGh53nfUyPp6en4yODpk2bpnXr1jm933Lr1q2aPHmypBsfR1S9enVJ/33aOjY2Vlu2bHGcb7fbtWPHDg0fPtzxXshbfQzTvZI318uXL%2Btvf/ub0/spDxw4oGeeecbxAfNFPVcAvw1snQMoEpGRkfL09NRHH32klStXauXKlapcubLKlSuna9eu6fTp08rKypKrq6vGjx%2Bv/v3757tHjRo1dOTIEXXo0EEBAQFKT093PGXetWtXPf/8807njxgxQvHx8frggw/0yiuv6M9//rOqVq2qhIQEJSYmSrrxW3ymTp3quKZv3776%2B9//rh9//FFjxoxRlSpVVLZsWV24cEHJyclydXVVs2bNFB0dXeRb6O3atVNgYKBiYmI0ffp0LVu2TBUqVFBSUpISEhJks9nUokUL/etf/1JiYqLsdrvhRxkBQGEhaAIoEiVKlNDMmTM1YMAAbd68Wbt371ZCQoJiY2Pl4eGhmjVrqlWrVurbt6%2Bjqfulhg0bKjIyUvPmzdO%2BfftUvHhxNWvWTE8//bTjg8lvZrPZNGXKFHXq1Envv/%2B%2BDhw4oCNHjsjNzU2NGjVS165dFRoa6vTkdcmSJbV27VotW7ZM27Zt09mzZ3Xx4kVVrFhRbdu21ZAhQ%2BTp6akOHTooNjZW58%2BfV%2BXKlS1bt9spVqyYVqxYoVWrVunTTz9VfHy8jh07Jh8fHz355JMaMGCA6tevr%2BDgYF26dEn79%2B//1c/4BAAz%2BF3nAB44eb8jvFu3boqMjCzq6QAAboH3aAIAAMASBE0AAABYgqAJAAAASxA0AQAAHjApKSnq2LGjdu/efctztm/frm7duqlRo0bq3Lmztm3b5nR82bJlatOmjRo1aqRBgwbp5MmThT5PgiaAB87MmTN19OhRHgQC8Ju0b98%2BhYaG6syZM7c85/Tp0woPD1dERIT27t2r8PBwjR071vExbBs2bNCqVau0fPly7d69W/Xr19eYMWNU2M%2BIEzQBAAAeEBs2bNCECRM0bty4Xz2vSZMm6tChg4oXL64nn3xSTZs2VVRUlCTpgw8%2BUP/%2B/eXv7y83NzeNHz9e58%2Bfv21DejcImgAAAPdIYmKifvjhB6evvF8YURCtWrXSl19%2BafhZwTeLi4tTQECA01itWrUUGxtreNzV1VU1atRwHC8sfGA7/ovfEAKYV7OmdPy45O8vnTpV1LMBHg5F9ZHfFvy5GDVvnhYsWOA0FhYWpvDw8AJd7%2BPjU6Dz0tLS5OHh4TTm7u6u9PT0Ah0vLARNAChM3t5SsWI3/goAvxAaGqp27do5jRU0PN4JDw8PZWZmOo1lZmbKy8urQMcLC0ETAADAiEvhv8PQ19dXvr6%2BhX7fXwoICNAPP/zgNBYXF6cGDRpIkvz9/XX8%2BHGFhIRIkrKzs3X69Ol82%2B1m8R5NAACAh0z37t0VHR2tzZs3KycnR5s3b1Z0dLR69OghSerTp49Wr16t2NhYXbt2TbNnz1b58uXVpEmTQp0HjSYAAIARCxpNKwUGBuqtt95S9%2B7d5efnp4ULFyoyMlKvvvqqqlSpovnz56tmzZqSpL59%2B%2Brq1asaPXq0UlJS1LBhQy1dulSurq6FOiebvbA/MAkPLh4GAswLDJT275caN5ZiYop6NsDDoaiiiptb4d/z2rXCv%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%2B4c6YYPH659%2B/Y5jaWnpys0NFRvv/22Ll68qJYtW8rT09NxvGzZsvr6668Ldb4ETQAAACP3YaM5duxYVahQQTt37tTFixc1cuRIrVixQsOHD3c6791333X6fu3atVqwYIHCwsIkSYcOHVKVKlUKPVj%2B0v23ggAAAMjnxx9/VHR0tF588UV5eHioWrVqGjVqlNasWXPb606ePKkpU6YoMjJSvr6%2Bkm4EzQYNGlg%2BZxpNAAAAIxY0momJiUpKSnIa8/HxcQTA2zl%2B/Li8vb1VoUIFx5ifn5/Onz%2BvK1euqHTp0obXvfXWW%2BrZs6eaNGniGDt06JAuX76srl276uLFi2rYsKEmTpyoWrVq3eUrM0bQBAAAMGJB0IyKitKCBQucxsLCwhQeHv6r16alpcnDw8NpLO/79PR0w6C5d%2B9eHTx4UJGRkU7jpUuXVq1atTRixAiVKFFCc%2BfO1TPPPKPNmzerVKlSd/qybomgCQAAcI%2BEhoaqXbt2TmM%2BPj4FutbT01MZGRlOY3nfe3l5GV4TFRWlzp075/sZs2fPdvp%2B0qRJWrdunfbu3auQkJACzacgCJoAAABGLGg0fX19C7RNbsTf31%2BXLl3SxYsXVb58eUnSiRMnVLFiRcMWMicnR1999ZUWLlzoNJ6amqqFCxdq4MCBqlKliiTp%2BvXrysnJkbu7%2B13N7VZ4GAgAAOABUKNGDQUFBWn69OlKTU1VfHy8Fi1apL59%2Bxqef/ToUV27dk2NGzd2Gi9ZsqT%2B9a9/adasWbp69arS0tI0ZcoUVa1a1el9nIWBoAkAAGDExaXwv0yaN2%2BecnJy1L59e/Xr10%2BtW7fWqFGjJEmBgYHauHGj49z4%2BHiVKVNGbm5u%2Be6zaNEi5ebmqkOHDmrdurWSkpK0bNkyubq6mp7jzWx2u91eqHfEg8tmK%2BoZAA%2B%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%2BvXrmjVrllq0aKHAwECNHDlSiYmJhT5fgiYAAIARF5fC/zJp7Nix8vT01M6dO7V27Vp9%2B%2B23WrFiheG533//vZYvX66YmBjHV5s2bSRJixcv1q5du7Ru3Trt3LlT7u7ueu2110zP75cImgAAAA%2BAH3/8UdHR0XrxxRfl4eGhatWqadSoUVqzZk2%2Bc%2BPj43X58mXVq1fP8F4ffvihRowYoUqVKqlkyZJ69dVXtWPHDsXHxxfqnHmPJgAAgBEL3qOZmJiopKQkpzEfHx/5%2Bvr%2B6rXHjx%2BXt7e3KlSo4Bjz8/PT%2BfPndeXKFZUuXdoxfujQIXl5eWncuHE6dOiQypcvr6FDh6pv3766evWqfvrpJwUEBDjOL1%2B%2BvMqUKaOjR4%2BqWrVqhfBKbyBoAgAAGLEgaEZFRWnBggVOY2FhYQoPD//Va9PS0uTh4eE0lvd9enq6U9DMyspSo0aNNG7cOPn7%2B2v37t0KDw%2BXl5eXAgMDJUmenp5O93J3d1daWtpdva5bIWgCAADcI6GhoWrXrp3TmI%2BPT4Gu9fT0VEZGhtNY3vdeXl5O4z179lTPnj0d37dq1Uo9e/bUZ599phYtWjhdmyczMzPffcwiaAIAABixoNH09fUt0Da5EX9/f126dEkXL15U%2BfLlJUknTpxQxYoVVapUKadz165dKy8vL3Xu3NkxlpWVJTc3N5UpU0YVKlRQXFycY/s8KSlJly5dctpOLww8DAQAAPAAqFGjhoKCgjR9%2BnSlpqYqPj5eixYtUt%2B%2BffOdm5qaqilTpujw4cPKzc3VN998o08%2B%2BUShoaGSpN69e2vx4sWKj49Xamqqpk%2BfrmbNmql69eqFOmcaTQAAACP34Qe2z5s3T2%2B//bbat28vFxcX9ezZU6NGjZIkBQYG6q233lL37t01ZMgQpaenKywsTMnJyapWrZpmzZqlJk2aSJJGjx6tnJwcDRgwQGlpaQoODtZf/vKXQp%2BvzW632wv9rngw2WxFPQPgwRcYKO3fLzVuLMXEFPVsgIdDUUWVGTMK/56TJhX%2BPe9j919UBwAAwEOBrXMAAAAj9%2BHW%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%2BIdWrFihxMRE%2Bfr6avDgwRowYIAkKTc3V0FBQbLb7bLZbI5rdu3aJU9Pz0KbL0ETAADAyH3YaI4dO1YVKlTQzp07dfHiRY0cOVIrVqzQ8OHDnc7bunWr3nnnHS1btkyPPfaYDhw4oOeee07ly5dXp06dFBcXp%2BzsbO3fv18lSpSwbL733woCAAAgnx9//FHR0dF68cUX5eHhoWrVqmnUqFFas2ZNvnMTEhI0YsQINWrUSDabTYGBgQoODtaePXskSYcOHVLt2rUtDZkSjSYAAIAxCxrNxMREJSUlOY35%2BPjI19f3V689fvy4vL29VaFCBceYn5%2Bfzp8/rytXrqh06dKO8bwt8jzJycnas2ePJk2aJOlG0Lx27Zr69Omjc%2BfOyc/PT%2BPHj1fjxo3NvLx8CJoAAABGLAiaUVFRWrBggdNYWFiYwsPDf/XatLQ0eXh4OI3lfZ%2Benu4UNG%2BWlJSk559/Xg0aNFDXrl0lSe7u7nr00UcVERGhMmXKaM2aNXr22We1ceNGVatW7W5emiGCJgAAwD0SGhqqdu3aOY35%2BPgU6FpPT09lZGQ4jeV97%2BXlZXjNgQMHFBERoSZNmmjGjBmOh4Zefvllp/OeffZZrV%2B/Xtu3b9fAgQMLNJ%2BCIGgCAAAYsaDR9PX1LdA2uRF/f39dunRJFy9eVPny5SVJJ06cUMWKFVWqVKl8569du1ZTp07VmDFjNGzYMKdjc%2BbMUadOnVSvXj3HWFZWltzc3O5qbrfCw0AAAAAPgBo1aigoKEjTp09Xamqq4uPjtWjRIvXt2zffuVu2bNGbb76p%2BfPn5wuZknTs2DFNmzZNSUlJysrK0oIFC5SamqqOHTsW6pwJmgAAAEZcXAr/y6R58%2BYpJydH7du3V79%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%2BZc7onTp08X9RQAAMCDwMWl8L9%2BY%2B7oFZ8/f16BgYE6f/68xo0bp48%2B%2BsiqeVni8OHD6tq1a1FP464EBgZq7969hsd2796t2rVr3%2BMZAQCAey05OVmjRo1SkyZNFBwcrGnTpiknJ8fw3O3bt6tbt25q1KiROnfurG3btjkdX7Zsmdq0aaNGjRpp0KBBOnnyZKHP946CZuXKlRUTE6PKlSvr559/LvTJWO3q1avKzs4u6mnclZiYGDVp0qSopwEAwG/Hfdhojh07Vp6entq5c6fWrl2rb7/9VitWrMh33unTpxUeHq6IiAjt3btX4eHhGjt2rBISEiRJGzZs0KpVq7R8%2BXLt3r1b9evX15gxY2S3203P8WZ39IrPnj2r2rVra%2BjQodq7d6%2BWLl2qF154QZJ05swZvfDCCwoODlZISIjmzJmjrKwsSdL69evVv39/zZo1S82aNVPz5s21atUqffDBBwoJCVFQUJDeeOONAs/jhx9%2B0KBBgxQYGKhWrVpp7ty5joVZu3atevfureDgYAUGBur5559XSkqK4uPjNWLECEk32sGYmBjZ7XatXLlSnTp1UpMmTdS/f399//33jp/z888/a9y4cQoKClL79u21atUq1atXT2fPnpUkHT16VCN0190kAAAgAElEQVRGjFCzZs3Upk0bvfnmm7p69arjNffu3VvDhg1TkyZNtGTJEtWtW1c//fST4/6HDh1So0aNlJqa%2BquvuXbt2tq9e7ckKTExUS%2B88IIaN26s9u3ba9euXQVeOwAA8GD68ccfFR0drRdffFEeHh6qVq2aRo0apTVr1uQ7d8OGDWrSpIk6dOig4sWL68knn1TTpk0VFRUlSfrggw/Uv39/%2Bfv7y83NTePHj9f58%2BcdWaOw3NXDQFOnTtWkSZPUrFkzhYeHKz09XUOHDlWXLl00d%2B5cpaSkaMyYMcrNzdX48eMlSfv27dP//u//6rvvvtP777%2BvqVOnqnPnztq8ebPi4uIUGhqqbt26qWnTprf92ZcuXdKwYcM0aNAgLV%2B%2BXD/99JMGDRqkChUqqF69epo6dapWrlypRx99VD/99JOGDBmilStXauzYsVq2bJkGDx6smJgYSdKaNWv03nvvafHixfLz89PHH3%2BsZ555Rp999pnKly%2BvCRMmyGaz6auvvlJubq4mTJig69evS7oRQgcPHqzevXtr/vz5unr1qiZMmKCXXnpJixcvlnQjEM%2BcOVNLlixRbm6uNm3apI0bN%2Bq5556TJH300Ufq1KmTSpYseUfrP27cOJUtW1Y7duzQ1atXNXLkyDu6XroRVpOSkpzGfGrWlK%2B39x3fC8BN6tRx/isAc/7zZ3aRsOA9lYZ//vr4yNfX91evPX78uLy9vVWhQgXHmJ%2Bfn86fP68rV66odOnSjvG4uDgFBAQ4XV%2BrVi3FxsY6jucVcJLk6uqqGjVqKDY2Vs2bN7%2Br12akUJ46/%2Babb5SVlaU//vGPstlsqlSpkiIiIjRmzBhH0PT09NSQIUNks9nUqlUrXb9%2BXc8%2B%2B6w8PDzUsGFD%2Bfr66ty5c78aNLdt2yY3NzeNHj1aNptN1atX13vvvSdPT095e3vrk08%2BUdWqVXX58mUlJibqkUcecdTEv7RmzRo9//zzqvOfPxD69u2rtWvXauPGjerSpYv%2B%2Bc9/6rPPPpP3f8LXK6%2B8oi5dukiSvvrqK7m6umrChAkqVqyY3N3d9frrr6tLly6Of4FcXV3Vo0cPufznX9TevXtrw4YNeu6555Sdna1PPvlE8%2BfPv6O1PnfunPbu3astW7aoZMmSKlmypMLCwjR69Og7uk9UVJQWLFjgNBYWEaHwiIg7ug%2BAW/j734t6BsDDwWYrsh9tV%2BH/bMM/f8PCFB4e/qvXpqWlycPDw2ks7/v09HSnoGl0rru7u9LT0wt0vLAUStA8d%2B6cUlJSnEKi3W5Xdna2kpOTJUne3t6y/edflrzgdfOCuLi4KDc391d/VlJSkipVquS4lyT97ne/kyRlZWVp5cqV2rRpkzw9PVW7dm2lpqbe8v0G586d06xZsxQZGekYy8nJUYMGDXThwgVJUtWqVR3HqlWr5vj75ORkVa5cWcWKFXOM5Z177tw5STf%2BD8Xlpv8b6tGjh9555x0dPnxYZ8%2BeValSpX41WP9SXmiuXLmyY6x69ep3dA9JCg0NVbt27ZzGfLp1k/72tzu%2BF4Cb1KlzI2T27y/9pzkAgDyGf/76%2BBToWk9PT2VkZDiN5X3v5eXlNO7h4aHMzEynsczMTMd5v3a8sBRK0KxYsaKqV6%2Buzz//3DGWmpqq5ORkPfLII5LkFAzN/qwLFy7Ibrc77rl161alpqYqMTFRu3bt0qZNm1S%2BfHlJcryH9Fb3GjNmjKOllG6819Tb29ux%2BOfOnVPNmjUdf5%2BnSpUqOn/%2BvK5fv%2B4Im2fOnJF041%2BYkydP5nvN5cuXV5s2bfTpp5/q7Nmz6t279x2vS8WKFSVJ8fHx8vPzkySn930WlK%2Bvb/6a/tSpO74PgFuIjS3aLT8AphWg/7pjhn/%2BFpC/v78uXbqkixcvOnLOiRMnVLFiRZUqVcrp3ICAAP3www9OY3FxcWrQoIHjXsePH1dISIgkKTs7W6dPn8633W7WXb/5oESJEo4HX0JCQpSWlqZ3331XWVlZunLliiZOnKhx48YVWsDM07ZtW%2BXk5GjJkiXKysrSmTNnNH36dF27dk2pqakqXry4XF1dlZOTo48//lg7d%2B50PGnu5uYmSY559%2BvXT4sXL9aJEyckSTt37lSXLl20Z88e%2Bfr6KiQkRH/%2B8591%2BfJlXb58WX/6058c83jiiSckSZGRkcrMzFRSUpKmTZum5s2bq0qVKrecf58%2BffTll1/qX//6l3r16nXHr79y5cpq1aqVZsyYocuXLyspKSlfBQ8AAMzLzS38LzNq1KihoKAgTZ8%2BXampqYqPj9eiRYvUt2/ffOd2795d0dHR2rx5s3JycrR582ZFR0erR48ekm7kkdWrVys2NlbXrl3T7NmzVb58%2BUL/hJu7Dpo9e/bUunXr1L9/f5UsWVIrVqzQ7t271aZNG3Xo0EEuLi6Oh2IKU%2BnSpbV8%2BXJ9%2B%2B23atWqlQYNGqSnnnpKoaGhGjZsmCpVqqSQkBC1bt1aGzduVP/%2B/XXs2DFJN9J9UFCQWrdure3bt2vo0KHq2bOnRo0apcDAQE2bNk1vvPGG2rdvL0maNm2abDab2rZtq169eqlevXqSbrz3slSpUnrvvfd07NgxPfHEE%2BratauqVKmiuXPn3nb%2Bbdu2VVpamh599FFVqlTprtZg9uzZKlWqlEJCQtSnTx%2B1aNHiru4DAAAeLPPmzVNOTo7at2%2Bvfv36qXXr1ho1apSkG5%2Bqs3HjRkk3HhJauHChli5dqqZNm2rRokWaP3%2B%2BY5e2b9%2B%2BGjp0qEaPHq3mzZvr8OHDWrp0qVxdXQt1vjZ7YX9g0kNk165dCgoKkru7u6QbH2fUs2dPHThwwNGO3o1evXppxIgRevLJJwtrqoWjCN9wDTw0AgOl/fulxo3ZOgcKSxFFlWvXCv%2BeJuLDA%2Bm397uQ7sCsWbO0ePFi5eTkKDU1VYsXL1aLFi3uOmSeOnVK77//vpKSktShQ4dCni0AAMD9pVAeBipMwcHBjg96N/Lpp586PXFtpdmzZ2vq1Klq3ry5XFxc1Lp1a6f3ad6p119/XSdOnNDMmTNVokQJx3jv3r116jYP4ixbtozfCgQAwD1mxcNAvzVsneO/2DoHzGPrHCh8RRRV0tIK/56F/OlB9z22zgEAAGCJ%2B27rHAAA4H7A1rl5NJoAAACwBI0mAACAARpN8wiaAAAABgia5rF1DgAAAEvQaAIAABig0TSPRhMAAACWoNEEAAAwQKNpHkETAADAAEHTPLbOAQAAYAkaTQAAAAM0mubRaAIAAMASNJoAAAAGaDTNI2gCAAAYIGiax9Y5AAAALEGjCQAAYIBG0zwaTQAAAFiCRhMAAMAAjaZ5BE0AAAADBE3z2DoHAACAJWg0AQAADNBomkejCQAAAEvQaAIAABig0TSPoAkAAGCAoGkeW%2BcAAACwBI0mAACAARpN82g0AQAAYAkaTQAAAAM0muYRNAEAAAwQNM1j6xwAAACWoNEEAAAwQKNpHo0mAAAALEGjCQAAYIBG0zyCJgAAgAGCpnlsnQMAAMASNJoAAAAGaDTNI2gCAAAYIGiax9Y5AAAALEGjCQAAYIBG0zyCJgAAwEMiPT1dU6ZM0ddff62cnBy1b99ekydPlpeXl%2BH5W7Zs0aJFixQfHy9vb2/17t1bo0aNkovLjU3vzp076/z5847vJWnt2rXy8/Mr0HwImgAAAAYexEZzypQpunDhgrZs2aLr169r7NixioyM1OTJk/Od%2B/333%2Bull17SX/7yFz3xxBM6deqURowYIU9PTw0bNkypqak6deqUvvrqK1WpUuWu5sN7NAEAAAzk5hb%2Bl5UyMjK0adMmjRkzRt7e3ipXrpwmTJig9evXKyMjI9/5586d01NPPaWQkBC5uLjIz89PHTt21J49eyTdCKLe3t53HTIlGk0AAIB7JjExUUlJSU5jPj4%2B8vX1LdD1mZmZSkhIMDyWkZGh7OxsBQQEOMb8/PyUmZmp06dPq27duk7nd%2BrUSZ06dXK69zfffKNu3bpJkg4dOiQPDw8NHDhQx48fV5UqVRQeHq6QkJACzVUiaAIAABiyooGMiorSggULnMbCwsIUHh5eoOsPHjyowYMHGx6LiIiQJHl6ejrGPDw8JElpaWm3vW9qaqoiIiLk7u6uoUOHSpJsNpsaNmyoP/7xj6pcubI%2B//xzhYeHa/Xq1WrUqFGB5kvQBAAAuEdCQ0PVrl07pzEfH58CXx8cHKyjR48aHjt8%2BLDmzp2rjIwMx8M/eVvmJUuWvOU9T548qTFjxqhcuXJauXKl49zhw4c7nde9e3d98skn2rJlC0ETAADADCsaTV9f3wJvk9%2BpmjVrytXVVXFxcXrsscckSSdOnJCrq6tq1KhheM327dv1xz/%2BUf369dP48eNVvPh/o%2BHy5ctVr149Pf74446xrKwsubm5FXhOPAwEAABg4EF7GMjDw0OdO3dWZGSkUlJSlJKSosjISHXt2lXu7u75zj9w4IBGjx6tSZMmaeLEiU4hU5IuXLigt956S/Hx8crJydHatWsVExOjXr16FXhONrvdbjf9yvBwsNmKegbAgy8wUNq/X2rcWIqJKerZAA%2BHIooqX35Z%2BPfs2LHw73mz1NRUzZo1S19//bWys7PVvn17vf766473bXbp0kXdunXTCy%2B8oBdeeEHffPON432ceYKCgvTuu%2B8qKytLkZGR%2Buyzz3T16lXVqlVLL774ooKDgws8H4Im/ougCZhH0AQKXxFFlS1bCv%2BeNz3k/ZvA1jkAAAAswcNAAAAABh7E3wx0vyFoAgAAGCBomsfWOQAAACxBowkAAGCARtM8Gk0AAABYgkYTAADAAI2meQRNAAAAAwRN89g6BwAAgCVoNAEAAAzQaJpHowkAAABL0GgCAAAYoNE0j6AJAABggKBpHlvnAAAAsASNJgAAgAEaTfNoNAEAAGAJGk0AAAADNJrmETQBAAAMEDTNY%2BscAAAAlqDRBAAAMECjaR6NJgAAACxBowkAAGCARtM8giYAAIABgqZ5bJ0DAADAEjSaAAAABmg0zaPRBAAAgCVoNAEAAAzQaJpH0AQAADBA0DSPrXMAAABYgkYTAADAAI2meQRNAAAAAwRN89g6BwAAgCVoNAEAAAzQaJpHowkAAABL0GgCAAAYoNE0j6AJAABggKBpHlvnAAAAsASNJgAAgAEaTfNoNAEAAGAJGk0AAAADNJrmETQBAAAMEDTNY%2BscAAAAliBoAgAAGMjNLfwvq6Wnp2vSpEkKDg5WUFCQXnrpJaWlpd3y/MmTJ6tBgwYKDAx0fEVFRTmOL1u2TG3atFGjRo00aNAgnTx58o7mQ9AEAAB4SEyZMkUXLlzQli1b9MUXX%2BjChQuKjIy85fmHDh3SlClTFBMT4/gKDQ2VJG3YsEGrVq3S8uXLtXv3btWvX19jxoyR3W4v8HwImgAAAAYetEYzIyNDmzZt0pgxY%2BTt7a1y5cppwoQJWr9%2BvTIyMvKdn5WVpWPHjqlBgwaG9/vggw/Uv39/%2Bfv7y83NTePHj9f58%2Be1e/fuAs%2BJh4EAAAAM3I8PA2VmZiohIcHwWEZGhrKzsxUQEOAY8/PzU2Zmpk6fPq26des6nR8bG6ucnBzNmzdP%2B/btU6lSpdSnTx8NHz5cLi4uiouL04gRIxznu7q6qkaNGoqNjVXz5s0LNF%2BCJgAAwD2SmJiopKQkpzEfHx/5%2BvoW6PqDBw9q8ODBhsciIiIkSZ6eno4xDw8PSTJ8n%2BbVq1fVrFkzDRo0SO%2B8846OHDmi0aNHy8XFRcOHD1daWprj%2Bjzu7u5KT08v0FwlgiYAAIAhKxrNqKgoLViwwGksLCxM4eHhBbo%2BODhYR48eNTx2%2BPBhzZ07VxkZGfLy8pIkx5Z5yZIl853fsmVLtWzZ0vH9o48%2BqiFDhmjz5s0aPny4PDw8lJmZ6XRNZmam494FQdAEAAC4R0JDQ9WuXTunMR8fn0K5d82aNeXq6qq4uDg99thjkqQTJ044trx/aevWrbp48aKeeuopx1hWVpbc3d0lSf7%2B/jp%2B/LhCQkIkSdnZ2Tp9%2BrTT1vyv4WEgAAAAA1Y8DOTr66v69es7fRV02/zXeHh4qHPnzoqMjFRKSopSUlIUGRmprl27OsLjzex2u2bMmKFvv/1WdrtdMTExWrlypeOp8z59%2Bmj16tWKjY3VtWvXNHv2bJUvX15NmjQp8JxoNAEAAAzcjw8D/ZrJkydr1qxZ6tatm7Kzs9W%2BfXu9/vrrjuNdunRRt27d9MILL6hjx46aNGmS3nzzTSUkJKh8%2BfIKDw9Xjx49JEl9%2B/bV1atXNXr0aKWkpKhhw4ZaunSpXF1dCzwfm/1OPgwJDzebrahnADz4AgOl/fulxo2lmJiing3wcCiiqPLqq4V/z2nTCv%2Be9zMaTQAAAAMPYqN5v%2BE9mgAAALAEjSYAAIABGk3zCJoAAAAGCJrmsXUOAAAAS9BoAgAAGKDRNI9GEwAAAJag0QQAADBAo2keQRMAAMAAQdM8ts4BAABgCRpNAAAAAzSa5tFoAgAAwBI0mgAAAAZoNM0jaAIAABggaJrH1jkAAAAsQaMJAABggEbTPBpNAAAAWIJGEwAAwACNpnkETQAAAAMETfPYOgcAAIAlaDQBAAAM0GiaR6MJAAAAS9BoAgAAGKDRNI%2BgCQAAYICgaR5b5wAAALAEjSYAAIABGk3zCJoAAAAGCJrmsXUOAAAAS9BoAgAAGKDRNI9GEwAAAJag0QQAADBAo2keQRMAAMAAQdM8ts4BAABgCRpNAAAAAzSa5tFoAgAAwBI0mgAAAAZoNM0jaAIAABggaJrH1jkAAAAsQaMJAABggEbTPBpNAAAAWIJGEwAAwACNpnkETQAAAAMETfPYOgcAAIAlaDQBAAAMPIiNZnp6uqZMmaKvv/5aOTk5at%2B%2BvSZPniwvL698577xxhvatGmT01hmZqZatGih5cuXKzc3V0FBQbLb7bLZbI5zdu3aJU9PzwLNh0YTAADgITFlyhRduHBBW7Zs0RdffKELFy4oMjLS8Ny3335bMTExjq/58%2BerdOnSevnllyVJcXFxys7OVnR0tNN5BQ2ZEkETAADAUG5u4X9ZKSMjQ5s2bdKYMWPk7e2tcuXKacKECVq/fr0yMjJue21KSoomTJigV199Vf7%2B/pKkQ4cOqXbt2ipRosRdz4mtcwAAAANWBMPExEQlJSU5jfn4%2BMjX17dA12dmZiohIcHwWEZGhrKzsxUQEOAY8/PzU2Zmpk6fPq26deve8r6RkZFq0KCBunfv7hg7dOiQrl27pj59%2BujcuXPy8/PT%2BPHj1bhx4wLNVSJoAgAA3DNRUVFasGCB01hYWJjCw8MLdP3Bgwc1ePBgw2MRERGS5LS17eHhIUlKS0u75T3j4%2BO1ceNGffjhh07j7u7uevTRRxUREaEyZcpozZo1evbZZ7Vx40ZVq1atQPMlaAIAABiwotEMDQ1Vu3btnMZ8fHwKfH1wcLCOHj1qeOzw4cOaO3euMjIyHA//5G2ZlyxZ8pb3XLdunQIDA/M1nnnv1czz7LPPav369dq%2BfbsGDhxYoPkSNAEAAO4RX1/fAm%2BT36maNWvK1dVVcXFxeuyxxyRJJ06ckKurq2rUqHHL67744gsNGzYs3/icOXPUqVMn1atXzzGWlZUlNze3As%2BJh4EAAAAMPGgPA3l4eKhz586KjIxUSkqKUlJSFBkZqa5du8rd3d3wmp9//lknTpxQ06ZN8x07duyYpk2bpqSkJGVlZWnBggVKTU1Vx44dCzwngiYAAICBBy1oStLkyZNVo0YNdevWTb///e9VtWpVvfHGG47jXbp00ZIlSxzfnz17VpJUoUKFfPeaMWOGqlevrh49eig4OFjR0dF677335O3tXeD52Ox2u93E68HD5KYPYwVwlwIDpf37pcaNpZiYop4N8HAooqjSsmXh33PXrsK/5/2M92gCAAAYeBB/M9D9hq1zAAAAWIJGEwAAwACNpnkETQAAAAMETfPYOgcAAIAlaDQBAAAM0GiaR6MJAAAAS9BoAgAAGKDRNI%2BgCQAAYICgaR5b5wAAALAEjSYAAIABGk3zaDQBAABgCRpNAAAAAzSa5hE0AQAADBA0zWPrHAAAAJag0QQAADBAo2keQRMAAMAAQdM8ts4BAABgCRpNAAAAAzSa5tFoAgAAwBI0mgAAAAZoNM0jaAIAABggaJrH1jkAAAAsQaMJAABggEbTPBpNAAAAWIJGEwAAwACNpnkETQAAAAMETfPYOgcAAIAlaDQBAAAM0GiaR6MJAAAAS9BoAgAAGKDRNI%2BgCQAAYICgaR5b5wAAALAEjSYAAIABGk3zaDQBAABgCRpNAAAAAzSa5hE0AQAADBA0zWPrHAAAAJag0QQAADBAo2kejSYAAAAsQaMJAABggEbTPIImAACAAYKmeWydAwAAwBIETQAAAAO5uYX/da9kZGQoNDRU69evv%2B15Bw8e1B/%2B8AcFBgaqXbt2%2BvDDD52Ob9iwQR07dlSjRo3Uu3dvxcTE3NE8CJoAAAAPkePHj2vAgAE6cODAbc%2B7fPmynnvuOfXs2VN79uzRtGnTNGPGDP373/%2BWJO3evVtTpkzRzJkztWfPHnXv3l0jR45URkZGgedC0AQAADDwIDaa3377rYYMGaJevXqpcuXKtz33iy%2B%2BkLe3twYMGKDixYvr8ccfV7du3bRmzRpJ0ocffqguXbooKChIrq6uGjp0qMqWLavNmzcXeD48DAQAAGDAimCYmJiopKQkpzEfHx/5%2BvoW6PrMzEwlJCQYHvPx8VGdOnW0bds2ubm56b333rvtvY4fP66AgACnsVq1amnt2rWSpLi4OPXp0yff8djY2ALNVSJo4mZ2e1HPAHjgJSYmKmr%2BfIV%2B/nmB/%2BAAcH%2By4o/F%2BfOjtGDBAqexsLAwhYeHF%2Bj6gwcPavDgwYbHFi5cqA4dOhR4LmlpafLw8HAac3d3V3p6eoGOFwRBEwAKUVJSkhYsWKB27doRNAHkExoaqnbt2jmN%2Bfj4FPj64OBgHT16tFDm4uHhoatXrzqNZWZmysvLy3E8MzMz3/GyZcsW%2BGcQNAEAAO4RX1/f%2B%2BZ/QgMCArRr1y6nsbi4OPn7%2B0uS/P39dfz48XzH27RpU%2BCfwcNAAAAAv0EdO3bUxYsXtWLFCmVnZ%2Bu7777Tpk2bHO/L7Nu3rzZt2qTvvvtO2dnZWrFihZKTk9WxY8cC/wyCJgAAwG9Ely5dtGTJEklS2bJl9de//lWff/65goOD9dprr%2Bm1115T8%2BbNJUmPP/64Jk%2BerDfffFPNmjXTp59%2BqmXLlsnb27vAP89mt/MECAAUlsTEREVFRSk0NPS%2B2R4DgKJC0AQAAIAl2DoHAACAJQiaAAAAsARBEwAAAJYgaAIAAMASBE0AAABYgqAJAAAASxA0AQAAYAmCJgAAACxB0AQAAIAlCJoAAACwBEETAAAAlihe1BMAgAdVnTp1ZLPZbnvOkSNH7tFsAOD%2BQ9AEgLu0cuVKSdKuXbu0Y8cOhYWFqXr16rpw4YIWLlyoli1bFvEMAaBo2ex2u72oJwEAD7KOHTtq9erVqlChgmMsKSlJf/jDH/TNN98U3cQAoIjxHk0AMCklJUWlS5d2GnNzc9PVq1eLaEYAcH8gaAKASU2bNtXEiRMVHx%2Bv7OxsnTx5UhMmTNATTzxR1FMDgCLF1jkAmJSUlKSxY8dq3759joeDWrRooTlz5uRrOgHgt4SgCQCF5Pz580pISFDFihVVqVKlop4O8P/t3V1sk3UfxvHrhm5zunVkvKxdQYkkZGZOdLhEF2ATQkKCAbcmGgEFZtQYY3bAgeIJJ5qFGF8GGHSCMyJKBIKTrnoALFEIIrIEdY5hgg4srpJ1YLpNpVufgycs2YPEZPfaX332/Rz%2B7/vgOmqu/t9uwBxFEwDG6NSpU5o/f75Onjx5w3cqKirSmAgAMgtFEwDGqLy8XO3t7SopKfnb547jcI8mgAmNogkAaXBt9hMAJhJOnQNAGjz55JPWEQAg7SiaAJAGLB4BmIgomgCQBv/0TXQA%2BH9E0QQAAEBKUDQBAACQEhRNAAAApARFEwAAAClB0QQAlwYGBv7xndmzZ6c%2BCABkGC5sBwCX7rnnHi1btkzBYFD33nuvdRwAyBgUTQBw6bvvvlNLS4tCoZC8Xq9qa2tVU1OjoqIi62gAYIqiCQDjJJFI6MiRIwqHwzp%2B/LjuuusuBYNBLVmyRFlZWdbxACDt2KMJAOPE4/Ho1ltv1cyZMzVlyhR1dnaqqalJixcv1pdffmkdDwDSjhlNAHApGo3q4MGDamlp0U8//aSqqirV1taqurpakydP1p49e7R161YdO3bMOioApJXHOgAA/Ns98MADmjNnjmpqarRy5UpNnTp11PP77rtPra2tRukAwA4zmgDg0ttvv61169YpJyfHOgoAZBT2aAKASzt37tSkSfycAsD/4pcRAFwqKytTOBy2jgEAGYelcwBwKRgMqqOjQ9nZ2Zo2bZocxxl5dvjwYcNkAGCLw0AA4NKaNWusIwBARmJGEwDGSW9vryKRiKZPny6/328dBwDMMaMJAC7F43E9//zzOnLkiJLJpBzH0f3336833nhDXq/XOh4AmOEwEAC49Oqrr6q/v1%2BhUEinT59WS0uLhoeH9corr1hHAwBTLJ0DgEvV1dXav3//qIvaL126pBUrVuj48eOGyQDAFjOaAODS4OCg8vPzR415vV4NDw8bJQKAzEDRBACX5s2bp8bGRl1bIEomk2psbFRZWZlxMgCwxdI5ALjU1dWlxx9/XNnZ2QoEAopEInIcR83NzZozZ451PAAwQ9EEgHFw%2BfJlHTp0SLFYTIFAQFVVVcrLy7OOBQCmKJoA4NLFixf/djwrK0sFBQXKzs5OcyIAyAwUTQBwqbS09IYHfyZNmqTKykpt3rxZhYWFaU4GALY4DAQALm3cuFGVlZUj92i2tgPnBLIAAAc6SURBVLaqqqpKzz77rA4cOKC8vDw1NDRYxwSAtGNGEwBcWrp0qfbu3aspU6aMjF25ckXBYFCHDh1SPB7XkiVLdOLECcOUAJB%2BzGgCgEt9fX2aPHnyqDHHcdTb2ytJys3N5U5NABMSRRMAXFq4cKE2bNig7u5uXb16Vd3d3XrxxRe1YMEC/fXXX9qyZYtKS0utYwJA2rF0DgAuXb58WRs2bNCxY8fkOI6k/36W8uWXX9aZM2e0efNmvfbaa9ypCWDCoWgCwDiJRqPq6elRcXGxpk%2Bfbh0HAMyxdA4A4yAWi%2Bmzzz5TKBRSbm6u2trarCMBgDmKJgC41NHRoWXLlunzzz/Xvn371NfXp/r6eu3fv986GgCYomgCgEsNDQ164YUXtGfPHnk8Hs2aNUtvvvmmdu7caR0NAExRNAHApbNnz2rlypWSNHIYaOHChYpGo5axAMAcRRMAXCosLNS5c%2BdGjZ07d07Tpk0zSgQAmYGiCQAurVq1Sk8//bQ%2B/vhjJRIJhcNh1dfX65FHHrGOBgCmuN4IAMbB7t279eGHHyoSicjn8%2Bnhhx/W%2BvXrR5bSAWAiomgCgEunT5/WvHnzrhv/4osvtGjRIoNEAJAZWDoHAJfWr19/3Vg8Hld9fb1BGgDIHB7rAADwb9Td3a3ly5draGhIyWRSd9xxx3XvlJeXGyQDgMzB0jkAjFFnZ6d%2B//13PfXUU3rnnXdGPcvJydHcuXOVm5trlA4A7FE0AcClCxcuaNasWdYxACDjUDQBwKW%2Bvj7t2rVL0WhUw8PDkqSrV6/q7Nmz%2BvTTT43TAYAd9mgCgEsbN27Uzz//rMLCQvX398vv9%2Bvo0aNavXq1dTQAMEXRBACXTp48qXA4rGg0qqamJm3btk0tLS0KhULW0QDAFNcbAYBLHo9HRUVFmj17trq6uiRJy5cv1w8//GCcDABsUTQBwKVAIKDvv/9eXq9X/f39isViGhgY0B9//GEdDQBMsXQOAC6tWrVKjz32mFpbW/Xggw9q7dq18ng8qqiosI4GAKY4dQ4A4%2BDbb79VSUmJHMfRe%2B%2B9p3g8rrq6OhUUFFhHAwAzLJ0DwDg4c%2BaM%2Bvr6lJWVpRkzZmjmzJmUTAATHkUTAFzasmWLtm/frsHBQUlSXl6e3nrrLe3YscM4GQDYYukcAFxatGiRdu/ePerrQOfPn9fatWvV1tZmmAwAbDGjCQAuxeNx%2Bf3%2BUWN%2Bv18DAwNGiQAgM1A0AcCl0tJSNTU1jRp79913VVJSYpQIADIDS%2BcA4FJHR4fq6uqUm5srn8%2Bnnp4eJRIJ7dixg7IJYEKjaALAOLhy5Yra2tr022%2B/ye/3q7q6Wvn5%2BSPPe3p65PP5DBMCQPpRNAEgDcrLy9Xe3m4dAwDSij2aAJAG/KcHMBFRNAEgDRzHsY4AAGlH0QQAAEBKUDQBAACQEhRNAAAApARFEwAAAClB0QSANMjOzraOAABpxz2aADAOvvnmG0UikeuuMXrooYeMEgGAPYomALi0adMm7du3TzNmzBh1jZHjODp8%2BLBhMgCwRdEEAJcqKirU3NysO%2B%2B80zoKAGQU9mgCgEv5%2BfmaO3eudQwAyDjMaAKAS3v37tXXX3%2BtJ554Ql6vd9Sz4uJio1QAYM9jHQAA/u3%2B/PNPhcNhhUKhkbFkMinHcdTZ2WmYDABsMaMJAC5VVlbqueee04IFCzRp0ugdSYFAwCgVANhjRhMAXBoaGtKjjz5qHQMAMg6HgQDApdraWr3//vvWMQAg47B0DgAurV69WqdOndItt9yigoKCUXdpco8mgImMogkALh04cOCGz2pqatKYBAAyC0UTAMZRLBZTYWGhdQwAyAjs0QQAlxKJhF5//XXNnz9fixcv1oULFxQMBnXp0iXraABgiqIJAC5t3bpVX331lRobG5WVlaWpU6fK5/PppZdeso4GAKa43ggAXDp48KA%2B%2BugjFRUVyXEc3XzzzWpoaNDSpUutowGAKWY0AcClgYGBkX2Z17a933TTTddd3g4AEw2/ggDg0t13361t27ZJ0sjVRrt27VJZWZllLAAwx6lzAHDp/PnzWrdunRKJhHp7e3Xbbbepv79fzc3Nuv32263jAYAZiiYAjIPBwUG1tbXp4sWL8vl8qq6uVl5ennUsADBF0QQAl5555hlt3779uvE1a9bogw8%2BMEgEAJmBU%2BcAMAa//PKLPvnkE0nS0aNHR/ZoXhOPx9XV1WURDQAyBkUTAMaguLhYP/74o2KxmIaGhnTixIlRz3NycrRp0yajdACQGVg6B4Ax6unpkc/nU11d3Q0vZy8uLk5zKgDIHBRNABij8vJytbe3q6SkZORao2uSyaQcx1FnZ6dROgCwR9EEgDH69ddf5ff7FYlEbvhOIBBIYyIAyCwUTQAAAKQEXwYCAABASlA0AQAAkBIUTQAAAKQERRMAAAApQdEEAABASlA0AQAAkBIUTQAAAKQERRMAAAAp8R/V7i09HYqSTgAAAABJRU5ErkJggg%3D%3D\" class=\"center-img\">\n",
       "</div>\n",
       "    <div class=\"row headerrow highlight\">\n",
       "        <h1>Sample</h1>\n",
       "    </div>\n",
       "    <div class=\"row variablerow\">\n",
       "    <div class=\"col-md-12\" style=\"overflow:scroll; width: 100%%; overflow-y: hidden;\">\n",
       "        <table border=\"1\" class=\"dataframe sample\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>item_category_name</th>\n",
       "      <th>item_category_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>PC - Гарнитуры/Наушники</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Аксессуары - PS2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Аксессуары - PS3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Аксессуары - PS4</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Аксессуары - PSP</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "    </div>\n",
       "</div>\n",
       "</div>"
      ],
      "text/plain": [
       "<pandas_profiling.ProfileReport at 0x270890e79b0>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ppf.ProfileReport(item)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<meta charset=\"UTF-8\">\n",
       "\n",
       "<style>\n",
       "\n",
       "        .variablerow {\n",
       "            border: 1px solid #e1e1e8;\n",
       "            border-top: hidden;\n",
       "            padding-top: 2em;\n",
       "            padding-bottom: 2em;\n",
       "            padding-left: 1em;\n",
       "            padding-right: 1em;\n",
       "        }\n",
       "\n",
       "        .headerrow {\n",
       "            border: 1px solid #e1e1e8;\n",
       "            background-color: #f5f5f5;\n",
       "            padding: 2em;\n",
       "        }\n",
       "        .namecol {\n",
       "            margin-top: -1em;\n",
       "            overflow-x: auto;\n",
       "        }\n",
       "\n",
       "        .dl-horizontal dt {\n",
       "            text-align: left;\n",
       "            padding-right: 1em;\n",
       "            white-space: normal;\n",
       "        }\n",
       "\n",
       "        .dl-horizontal dd {\n",
       "            margin-left: 0;\n",
       "        }\n",
       "\n",
       "        .ignore {\n",
       "            opacity: 0.4;\n",
       "        }\n",
       "\n",
       "        .container.pandas-profiling {\n",
       "            max-width:975px;\n",
       "        }\n",
       "\n",
       "        .col-md-12 {\n",
       "            padding-left: 2em;\n",
       "        }\n",
       "\n",
       "        .indent {\n",
       "            margin-left: 1em;\n",
       "        }\n",
       "\n",
       "        .center-img {\n",
       "            margin-left: auto !important;\n",
       "            margin-right: auto !important;\n",
       "            display: block;\n",
       "        }\n",
       "\n",
       "        /* Table example_values */\n",
       "            table.example_values {\n",
       "                border: 0;\n",
       "            }\n",
       "\n",
       "            .example_values th {\n",
       "                border: 0;\n",
       "                padding: 0 ;\n",
       "                color: #555;\n",
       "                font-weight: 600;\n",
       "            }\n",
       "\n",
       "            .example_values tr, .example_values td{\n",
       "                border: 0;\n",
       "                padding: 0;\n",
       "                color: #555;\n",
       "            }\n",
       "\n",
       "        /* STATS */\n",
       "            table.stats {\n",
       "                border: 0;\n",
       "            }\n",
       "\n",
       "            .stats th {\n",
       "                border: 0;\n",
       "                padding: 0 2em 0 0;\n",
       "                color: #555;\n",
       "                font-weight: 600;\n",
       "            }\n",
       "\n",
       "            .stats tr {\n",
       "                border: 0;\n",
       "            }\n",
       "\n",
       "            .stats td{\n",
       "                color: #555;\n",
       "                padding: 1px;\n",
       "                border: 0;\n",
       "            }\n",
       "\n",
       "\n",
       "        /* Sample table */\n",
       "            table.sample {\n",
       "                border: 0;\n",
       "                margin-bottom: 2em;\n",
       "                margin-left:1em;\n",
       "            }\n",
       "            .sample tr {\n",
       "                border:0;\n",
       "            }\n",
       "            .sample td, .sample th{\n",
       "                padding: 0.5em;\n",
       "                white-space: nowrap;\n",
       "                border: none;\n",
       "\n",
       "            }\n",
       "\n",
       "            .sample thead {\n",
       "                border-top: 0;\n",
       "                border-bottom: 2px solid #ddd;\n",
       "            }\n",
       "\n",
       "            .sample td {\n",
       "                width:100%;\n",
       "            }\n",
       "\n",
       "\n",
       "        /* There is no good solution available to make the divs equal height and then center ... */\n",
       "            .histogram {\n",
       "                margin-top: 3em;\n",
       "            }\n",
       "        /* Freq table */\n",
       "\n",
       "            table.freq {\n",
       "                margin-bottom: 2em;\n",
       "                border: 0;\n",
       "            }\n",
       "            table.freq th, table.freq tr, table.freq td {\n",
       "                border: 0;\n",
       "                padding: 0;\n",
       "            }\n",
       "\n",
       "            .freq thead {\n",
       "                font-weight: 600;\n",
       "                white-space: nowrap;\n",
       "                overflow: hidden;\n",
       "                text-overflow: ellipsis;\n",
       "\n",
       "            }\n",
       "\n",
       "            td.fillremaining{\n",
       "                width:auto;\n",
       "                max-width: none;\n",
       "            }\n",
       "\n",
       "            td.number, th.number {\n",
       "                text-align:right ;\n",
       "            }\n",
       "\n",
       "        /* Freq mini */\n",
       "            .freq.mini td{\n",
       "                width: 50%;\n",
       "                padding: 1px;\n",
       "                font-size: 12px;\n",
       "\n",
       "            }\n",
       "            table.freq.mini {\n",
       "                 width:100%;\n",
       "            }\n",
       "            .freq.mini th {\n",
       "                overflow: hidden;\n",
       "                text-overflow: ellipsis;\n",
       "                white-space: nowrap;\n",
       "                max-width: 5em;\n",
       "                font-weight: 400;\n",
       "                text-align:right;\n",
       "                padding-right: 0.5em;\n",
       "            }\n",
       "\n",
       "            .missing {\n",
       "                color: #a94442;\n",
       "            }\n",
       "            .alert, .alert > th, .alert > td {\n",
       "                color: #a94442;\n",
       "            }\n",
       "\n",
       "\n",
       "        /* Bars in tables */\n",
       "            .freq .bar{\n",
       "                float: left;\n",
       "                width: 0;\n",
       "                height: 100%;\n",
       "                line-height: 20px;\n",
       "                color: #fff;\n",
       "                text-align: center;\n",
       "                background-color: #337ab7;\n",
       "                border-radius: 3px;\n",
       "                margin-right: 4px;\n",
       "            }\n",
       "            .other .bar {\n",
       "                background-color: #999;\n",
       "            }\n",
       "            .missing .bar{\n",
       "                background-color: #a94442;\n",
       "            }\n",
       "            .tooltip-inner {\n",
       "                width: 100%;\n",
       "                white-space: nowrap;\n",
       "                text-align:left;\n",
       "            }\n",
       "\n",
       "            .extrapadding{\n",
       "                padding: 2em;\n",
       "            }\n",
       "\n",
       "            .pp-anchor{\n",
       "\n",
       "            }\n",
       "\n",
       "</style>\n",
       "\n",
       "<div class=\"container pandas-profiling\">\n",
       "    <div class=\"row headerrow highlight\">\n",
       "        <h1>Overview</h1>\n",
       "    </div>\n",
       "    <div class=\"row variablerow\">\n",
       "    <div class=\"col-md-6 namecol\">\n",
       "        <p class=\"h4\">Dataset info</p>\n",
       "        <table class=\"stats\" style=\"margin-left: 1em;\">\n",
       "            <tbody>\n",
       "            <tr>\n",
       "                <th>Number of variables</th>\n",
       "                <td>3 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Number of observations</th>\n",
       "                <td>22170 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Total Missing (%)</th>\n",
       "                <td>0.0% </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Total size in memory</th>\n",
       "                <td>519.7 KiB </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Average record size in memory</th>\n",
       "                <td>24.0 B </td>\n",
       "            </tr>\n",
       "            </tbody>\n",
       "        </table>\n",
       "    </div>\n",
       "    <div class=\"col-md-6 namecol\">\n",
       "        <p class=\"h4\">Variables types</p>\n",
       "        <table class=\"stats\" style=\"margin-left: 1em;\">\n",
       "            <tbody>\n",
       "            <tr>\n",
       "                <th>Numeric</th>\n",
       "                <td>2 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Categorical</th>\n",
       "                <td>0 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Boolean</th>\n",
       "                <td>0 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Date</th>\n",
       "                <td>0 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Text (Unique)</th>\n",
       "                <td>1 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Rejected</th>\n",
       "                <td>0 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Unsupported</th>\n",
       "                <td>0 </td>\n",
       "            </tr>\n",
       "            </tbody>\n",
       "        </table>\n",
       "    </div>\n",
       "</div>\n",
       "    <div class=\"row headerrow highlight\">\n",
       "        <h1>Variables</h1>\n",
       "    </div>\n",
       "    <div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_item_category_id\">item_category_id<br/>\n",
       "            <small>Numeric</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-6\">\n",
       "    <div class=\"row\">\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "                <tr>\n",
       "                    <th>Distinct count</th>\n",
       "                    <td>84</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>0.4%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "\n",
       "        </div>\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "\n",
       "                <tr>\n",
       "                    <th>Mean</th>\n",
       "                    <td>46.291</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>83</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Zeros (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram-9112353636316161705\">\n",
       "    <img src=\"%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAAd1JREFUeJzt3UGu0lAYhuG/N05b5oQuwsRFuCBnjh26FOcuwl1AWEAbBw6kDhQn6hdQb0vheYY0cEpy3vQcQtpmmqapZnY4HKrv%2B7mHZeX2%2B33tdrtZx3wx62g/tG1bVd%2B/cNd1S5wCKzIMQ/V9/3PezGmRQJqmqaqqruvuOpBXbz9e/Z5P714/w5nch/O8mdPT7CPCiggEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIFrlpA//XtTeHcGOIy7mCQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCPzV5Ap/87wP1k0gD8iDfS5niQWBQCCwxOIij7ose9hAbLi5hCUWBA97BblVrmy3RSA8m3vYt1hiQSAQCAQCgUAguLlN%2Bj1s7LgfiwQyTVNVVQ3D8Muxr18%2BX/15L998%2BOdz4jb8bk6cXzvPmzktEsg4jlVV1ff9EsNzwzbv/3xsHMfabDbznUxVNdMCWZ5Opzoej9W2bTVNM/fwrMw0TTWOY22323p6mnfbvEggsBZ%2BxYJAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAg%2BAZWUFUI5ECkKgAAAABJRU5ErkJggg%3D%3D\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-9112353636316161705,#minihistogram-9112353636316161705\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives-9112353636316161705\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-9112353636316161705\"\n",
       "                                                  aria-controls=\"quantiles-9112353636316161705\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram-9112353636316161705\" aria-controls=\"histogram-9112353636316161705\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common-9112353636316161705\" aria-controls=\"common-9112353636316161705\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme-9112353636316161705\" aria-controls=\"extreme-9112353636316161705\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
       "\n",
       "    </ul>\n",
       "\n",
       "    <div class=\"tab-content\">\n",
       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-9112353636316161705\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>20</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>37</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>40</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>58</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>75</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>83</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>83</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>21</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "            <div class=\"col-md-4 col-md-offset-2\">\n",
       "                <p class=\"h4\">Descriptive statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Standard deviation</th>\n",
       "                        <td>15.941</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>0.34438</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>-0.50344</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>46.291</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>13.515</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>0.048078</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>1026266</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>254.13</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>173.3 KiB</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-9112353636316161705\">\n",
       "            <img src=\"%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJzt3X9UVXW%2B//EX8eOAjJxQ5BxOUuHcMg0rg66hlU4p/szbtcmKJOkHN9MkRKcy73fGaZbQmJqjlF69pk1q2CyzZWkEOoV6FROSEnNpd7LEhNCic9TRA%2BL%2B/tHX/fWEltmW7dHnY629luez3%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%2Bv19jx45VXFycoqOjNXToUO3duzfgGHv27NGdd96p6OhoxcXFKScnR42NjQE1ZWVlSklJUWRkpDp16qS5c%2Be22jkCAIDgFLQBa8uWLaqtrTW30tJSSdI999wjScrNzdWKFStUVFSkDRs26NChQxoyZIiam5slSc3NzRo8eLAOHz6sDRs2qKioSMuXL9f48ePN99i9e7cGDRqkW2%2B9VVu3btWzzz6rnJwcLV%2B%2BvPVPGAAABI0QwzAMu5uwQm5urt555x199tln8vl86tChg1577TXde%2B%2B9kqR9%2B/YpMTFRq1evVv/%2B/fXuu%2B9qyJAhqqmpkcfjkSQVFRUpKytL9fX1iomJ0dNPP62VK1dqx44d5vuMGjVKH3/8sTZt2nTGvfl8PjmdTnm9XsXExFh74kAQSp1UbHcLP0vFlAF2twDgLNj592/QzmCdrLGxUYsXL9bDDz%2BskJAQVVZWqqmpSenp6WaNx%2BNRcnKyNm7cKEnatGmTkpOTzXAlSf3795ff71dlZaVZc/IxTtRUVFSoqampFc4MAAAEozC7G7DCW2%2B9pe%2B%2B%2B05ZWVmSpLq6OkVERCg2NjagzuVyqa6uzqxxuVwB%2B2NjYxUREfGjNS6XS8eOHdOBAweUkJBwyn78fr/8fr/52ufz/aLzAwAAweWCmMFasGCBBg4cGDAbdSqGYSgkJMR8ffKfz7TmxB3VU/3sCQUFBXI6neaWmJh4RucBAAAuDEEfsL788kutWbNGjz76qDnmdrvV2NiohoaGgNr6%2BnpzRsrtdpszVSc0NDSoqanpR2vq6%2BsVFham9u3bn7aniRMnyuv1mltNTc0vOkcAABBcgj5gLVy4UPHx8Ro8eLA5lpKSovDwcPOThZJUW1ur6upq9ezZU5KUlpam6upq1dbWmjUlJSVyOBxKSUkxa04%2Bxoma1NRUhYeHn7Ynh8OhmJiYgA0AAFw8gjpgHT9%2BXAsXLtTIkSMVFvb/l5M5nU498sgjGj9%2BvNauXautW7dqxIgR6tatm/r27StJSk9PV9euXZWZmamtW7dq7dq1mjBhgrKzs81ANGrUKH355ZfKy8vTjh079Morr2jBggWaMGGCLecLAACCQ1Avcl%2BzZo327Nmjhx9%2BuMW%2BF198UWFhYRo%2BfLiOHDmiO%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%2B6sJUuW6OjRo1q0aJEcDoeSk5O1a9cuzZgxQ3l5eQoJCWnV8wYAAOe/oJ3BWrlypVJTU3XPPfcoPj5e3bt31/z58839u3fvVl1dndLT080xh8Oh3r17a%2BPGjZKkTZs2yel0muFKkm6%2B%2BWY5nc6Amt69e8vhcJg1/fv31759%2B/TFF1%2Bc47MEAADBKGgD1ueff645c%2Bboqquu0nvvvadRo0YpJydHf/3rXyVJdXV1kiSXyxXwcy6Xy9xXV1en%2BPj4FseOj48PqDnVMU5%2Bjx/y%2B/3y%2BXwBGwAAuHgE7S3C48ePKzU1Vfn5%2BZKk7t27a/v27ZozZ44efPBBs%2B6Ht/AMwwgYO9Utvp%2BqObHA/XS3BwsKCvTHP/7xZ54RAAC4UATtDFZCQoK6du0aMNalSxft2bNHkuR2uyW1nGWqr683Z6Dcbre%2B/vrrFsfev39/QM2pjiG1nB07YeLEifJ6veZWU1Pzc08PAAAEsaANWL169dLOnTsDxnbt2qUrrrhCkpSUlCS3263S0lJzf2Njo8rKytSzZ09JUlpamrxerz788EOzZvPmzfJ6vQE169atU2Njo1lTUlIij8cTsKj%2BZA6HQzExMQEbAAC4eARtwBo3bpzKy8uVn5%2Bv//3f/9XSpUs1b948jRkzRtL3t%2B9yc3OVn5%2BvFStWqLq6WllZWWrTpo0yMjIkfT/jNWDAAGVnZ6u8vFzl5eXKzs7WkCFD1LlzZ0nfP8bB4XAoKytL1dXVWrFihfLz8/kEIQAAOK2gXYN10003acWKFZo4caKee%2B45JSUlaebMmXrggQfMmqeeekpHjhzR6NGj1dDQoB49eqikpERt27Y1a5YsWaKcnBzz04ZDhw5VYWGhud/pdKq0tFRjxoxRamqqYmNjlZeXp7y8vNY7WQAAEFRCDB5Jfs75fD45nU55vV5uFwKSUicV293Cz1IxZYDdLQA4C3b%2B/Ru0twgBAADOVwQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsFbcCaPHmyQkJCAja3223uNwxDkydPlsfjUVRUlPr06aPt27cHHKOhoUGZmZlyOp1yOp3KzMzUd999F1Czbds29e7dW1FRUbrsssv03HPPyTCMVjlHAAAQnII2YEnStddeq9raWnPbtm2buW/q1KmaMWOGCgsLtWXLFrndbvXr108HDx40azIyMlRVVaXi4mIVFxerqqpKmZmZ5n6fz6d%2B/frJ4/Foy5Ytmj17tqZNm6YZM2a06nkCAIDgEmZ3A79EWFhYwKzVCYZhaObMmZo0aZKGDRsmSXr11Vflcrm0dOlSPfbYY9qxY4eKi4tVXl6uHj16SJLmz5%2BvtLQ07dy5U507d9aSJUt09OhRLVq0SA6HQ8nJydq1a5dmzJihvLw8hYSEtOr5AgCA4BDUM1ifffaZPB6PkpKSdN999%2Bnzzz%2BXJO3evVt1dXVKT083ax0Oh3r37q2NGzdKkjZt2iSn02mGK0m6%2Beab5XQ6A2p69%2B4th8Nh1vTv31/79u3TF198cdq%2B/H6/fD5fwAYAAC4eQRuwevToob/%2B9a967733NH/%2BfNXV1alnz5765ptvVFdXJ0lyuVwBP%2BNyucx9dXV1io%2BPb3Hc%2BPj4gJpTHePEvtMpKCgw13U5nU4lJiae/YkCAICgE7QBa%2BDAgbr77rvVrVs39e3bV6tWrZL0/a3AE354C88wjICxU93i%2B6maEwvcf%2Bz24MSJE%2BX1es2tpqbmZ5wZAAAIdkEbsH4oOjpa3bp102effWauy/rhLFN9fb05A%2BV2u/X111%2B3OM7%2B/fsDak51DKnl7NjJHA6HYmJiAjYAAHDxuGAClt/v144dO5SQkKCkpCS53W6Vlpaa%2BxsbG1VWVqaePXtKktLS0uT1evXhhx%2BaNZs3b5bX6w2oWbdunRobG82akpISeTweXXnlla1zYgAAIOgEbcCaMGGCysrKtHv3bm3evFm//e1v5fP5NHLkSIWEhCg3N1f5%2BflasWKFqqurlZWVpTZt2igjI0OS1KVLFw0YMEDZ2dkqLy9XeXm5srOzNWTIEHXu3FnS949xcDgcysrKUnV1tVasWKH8/Hw%2BQQgAAH5U0D6mYe/evbr//vt14MABdejQQTfffLPKy8t1xRVXSJKeeuopHTlyRKNHj1ZDQ4N69OihkpIStW3b1jzGkiVLlJOTY37acOjQoSosLDT3O51OlZaWasyYMUpNTVVsbKzy8vKUl5fXuicLAACCSojBY8nPOZ/PJ6fTKa/Xy3osQFLqpGK7W/hZKqYMsLsFAGfBzr9/g/YWIQAAwPmKgAUAAGAxAhYAAIDFbAlYixcv1tGjR%2B14awAAgHPOloCVl5cnt9utxx57LOA5VAAAABcCWwLWvn379Morr6i2tla33HKLrr32Wk2fPl379%2B%2B3ox0AAABL2RKwwsLCNGzYMK1cuVJ79uzRyJEj9corr6hjx44aNmyYVq1aJZ4eAQAAgpXti9zdbrfuuOMO9enTRyEhIaqoqFBGRoauuuoqrV%2B/3u72AAAAfjbbAtaBAwc0c%2BZMXX/99erVq5fq6%2Bv11ltv6csvv9RXX32lIUOG6MEHH7SrPQAAgLNmy1fl/Pu//7tWr16tpKQkPfrooxo5cqQ6dOhg7v/Vr36lp556SrNmzbKjPQAAgF/EloAVExOjNWvW6NZbbz1tTUJCgj777LNW7AoAAMAatgSsV1999SdrQkJC9Otf/7oVugEAALCWLWuwxo0bp8LCwhbjL730ksaPH29DRwAAANaxJWD97W9/080339xiPC0tTcuWLbOhIwAAAOvYErAOHDig2NjYFuMxMTE6cOCADR0BAABYx5aA9etf/1rvvfdei/H33ntPSUlJNnQEAABgHVsWuefm5io3N1fffPONbr/9dknS2rVrNXXqVE2bNs2OlgAAACxjS8DKzs7W0aNHlZ%2Bfrz/84Q%2BSpI4dO2rWrFl6%2BOGH7WgJAADAMrYELEkaO3asxo4dq9raWkVFRenSSy%2B1qxUAAABL2RawTkhISLC7BQAAAEvZssh9//79euihh3T55ZcrMjJSERERARsAAEAws2UGKysrS//4xz/0u9/9TgkJCQoJCbGjDQAAgHPCloC1bt06rVu3Tt27d7fj7QEAAM4pW24RduzYkVkrAABwwbIlYL344ouaOHGi9u7da8fbAwAAnFO23CLMzMzUwYMHdcUVVygmJkbh4eEB%2B%2Bvr6%2B1oCwAAwBK2BKznn3/ejrcFAABoFbYErEceecSOtwUAAGgVtqzBkqQvvvhCkydPVmZmpnlLsKSkRDt27LCrJQAAAEvYErDWr1%2Bva6%2B9VmVlZXrjjTd06NAhSdJHH32k3//%2B93a0BAAAYBlbAtbTTz%2BtyZMn6/333w94cvvtt9%2Bu8vLyszpmQUGBQkJClJuba475/X6NHTtWcXFxio6O1tChQ1t8cnHPnj268847FR0drbi4OOXk5KixsTGgpqysTCkpKYqMjFSnTp00d%2B7cs%2BoRAABcHGxZg/XJJ59oyZIlLcbj4%2BO1f//%2Bn328LVu2aN68ebruuusCxnNzc/X222%2BrqKhI7du31/jx4zVkyBBVVlYqNDRUzc3NGjx4sDp06KANGzbom2%2B%2B0ciRI2UYhmbPni1J2r17twYNGqTs7GwtXrxY//M//6PRo0erQ4cOuvvuu8/uFwAA51DqpGK7WzhjFVMG2N0CcE7YMoN16aWXqq6ursV4VVWVLrvssp91rEOHDumBBx7Q/PnzFRsba457vV4tWLBA06dPV9%2B%2BfdW9e3ctXrxY27Zt05o1ayR9v%2Bbr008/1eLFi9W9e3f17dtX06dP1/z58%2BXz%2BSRJc%2BfO1eWXX66ZM2eqS5cuevTRR/Xwww9r2rRpv%2BA3AAAALmS2BKz77rtPzzzzjPbv328%2B0X3z5s2aMGGCRowY8bOONWbMGA0ePFh9%2B/YNGK%2BsrFRTU5PS09PNMY/Ho%2BTkZG3cuFGStGnTJiUnJ8vj8Zg1/fv3l9/vV2VlpVlz8jFO1FRUVKipqemUPfn9fvl8voANAABcPGwJWPn5%2BXK73UpISNChQ4fUtWtX9ezZUzfddJP%2Bz//5P2d8nKKiIlVWVqqgoKDFvrq6OkVERATMakmSy%2BUyZ8/q6urkcrkC9sfGxioiIuJHa1wul44dO6YDBw6csq%2BCggI5nU5zS0xMPONzAgAAwc%2BWNVgRERFatmyZdu3apY8%2B%2BkjHjx/XjTfeqGuuueaMj1FTU6Mnn3xSJSUlioyMPOOfMwwj4HsQT/WdiD9VYxjGaX9WkiZOnKi8vDzztc/nI2QBAHARsSVgnXD11Vfr6quvPqufraysVH19vVJSUsyx5uZmrVu3ToWFhXrvvffU2NiohoaGgFms%2Bvp69ezZU5Lkdru1efPmgOM2NDSoqanJnLVyu90t1ovV19crLCxM7du3P2VvDodDDofjrM4LAAAEP1sC1n/8x3/86P558%2Bb95DHuuOMObdu2LWDsoYce0jXXXKOnn35aiYmJCg8PV2lpqYYPHy5Jqq2tVXV1taZOnSpJSktL05QpU1RbW6uEhARJ3y98dzgcZnBLS0vT22%2B/HfA%2BJSUlSk1NbfEdigAAAJJNAau2tjbgdVNTk7Zv366DBw/qtttuO6NjtG3bVsnJyQFj0dHRat%2B%2BvTn%2ByCOPaPz48Wrfvr3atWunCRMmqFu3buaC%2BPT0dHXt2lWZmZl64YUX9O2332rChAnKzs5WTEyMJGnUqFEqLCxUXl6esrOztWnTJi1YsECvv/76L/01AACAC5QtAeuHM0KSdOzYMT3%2B%2BOPq0qWLZe/z4osvKiwsTMOHD9eRI0d0xx13aNGiRQoNDZUkhYaGatWqVRo9erR69eqlqKgoZWRkBDyCISkpSatXr9a4ceP00ksvyePxaNasWTwDCwAAnFaIcWLF9nlg586d6tOnT4sZrmDn8/nkdDrl9XrNmTHgYhZMD8KUgu9hmMH0%2Bw223y2Ci51//9r2Zc%2Bn8vnnn5/22VIAAADBwpZbhE899VTAa8MwVFtbq5UrV%2BqBBx6woyUAAADL2BKwNm3aFPD6kksuUYcOHfT8888rOzvbjpYAAAAsY0vAWr9%2BvR1vCwAA0CrOqzVYAAAAFwJbZrBuuumm037NzA99%2BOGH57gbAAAAa9kSsH7zm9/ov/7rv3T11VcrLS1NklReXq6dO3fqscce42tmAABAULMlYH333XcaM2aM8vPzA8YnTZqkr7/%2BWv/93/9tR1sAAACWsGUN1htvvKGHHnqoxXhWVpb%2B9re/2dARAACAdWwJWA6HQxs3bmwxvnHjRm4PAgCAoGfLLcKcnByNGjVKW7du1c033yzp%2BzVY8%2BfP17PPPmtHSwAAAJaxJWBNmjRJSUlJ%2Bstf/qJXXnlFktSlSxfNnz9fGRkZdrQEAABgGVsCliRlZGQQpgAAwAXJtgeN%2Bnw%2BLVq0SL///e/V0NAgSfr4449VW1trV0sAAACWsGUGq7q6Wn379lWbNm1UU1OjrKwsxcbG6o033tDevXv16quv2tEWAACAJWyZwRo3bpwyMjL0j3/8Q5GRkeb44MGDtW7dOjtaAgAAsIwtM1hbtmzRnDlzWnxdzmWXXcYtQgAAEPRsmcGKiIjQoUOHWox/9tlniouLs6EjAAAA69gSsIYOHao//elPOnbsmCQpJCREX331lZ555hkNGzbMjpYAAAAsY0vAmj59uvbt2ye3260jR47o9ttvV6dOnRQZGdni%2BwkBAACCjS1rsJxOpzZu3KjS0lJ99NFHOn78uG688Ub179%2B/xbosAACAYNPqAaupqUmDBg3Syy%2B/rPT0dKWnp7d2CwAAAOdUq98iDA8P19atW5mpAgAAFyxb1mCNGDFCCxcutOOtAQAAzjnbvouwsLBQa9asUWpqqqKjowP2TZ061aauAAAAfjlbAlZlZaWuu%2B46SdInn3wSsI9bhwAAINi1asD6/PPPlZSUpPXr17fm2wIAALSqVl2DddVVV2n//v3m63vvvVdff/11a7YAAABwzrVqwDIMI%2BD16tWrdfjw4dZsAQAA4Jyz5VOEVpgzZ46uu%2B46xcTEKCYmRmlpaXr33XfN/X6/X2PHjlVcXJyio6M1dOhQ7d27N%2BAYe/bs0Z133qno6GjFxcUpJydHjY2NATVlZWVKSUlRZGSkOnXqpLlz57bK%2BQEAgODVqgErJCSkxSL2s13U3rFjRz3//POqqKhQRUWFbr/9dv3bv/2btm/fLknKzc3VihUrVFRUpA0bNujQoUMaMmSImpubJUnNzc0aPHiwDh8%2BrA0bNqioqEjLly/X%2BPHjzffYvXu3Bg0apFtvvVVbt27Vs88%2Bq5ycHC1fvvwsfwMAAOBiEGL88L7dOXTJJZdo4MCBcjgckqS3335bt99%2Be4vHNLz55ptndfx27drphRde0G9/%2B1t16NBBr732mu69915J0r59%2B5SYmKjVq1erf//%2BevfddzVkyBDV1NTI4/FIkoqKipSVlaX6%2BnrFxMTo6aef1sqVK7Vjxw7zPUaNGqWPP/5YmzZtOuO%2BfD6fnE6nvF6vYmJizurcgAtJ6qRiu1v4WSqmDLC7hZ8lmH6/wfa7RXCx8%2B/fVp3BGjlypOLj4%2BV0OuV0OjVixAh5PB7z9Ynt52publZRUZEOHz6stLQ0VVZWqqmpKeBreDwej5KTk7Vx40ZJ0qZNm5ScnGyGK0nq37%2B//H6/KisrzZoffpVP//79VVFRoaamprP5FQAAgItAqz6mweqnt2/btk1paWk6evSofvWrX2nFihXq2rWrqqqqFBERodjY2IB6l8uluro6SVJdXZ1cLlfA/tjYWEVERPxojcvl0rFjx3TgwAElJCScsi%2B/3y%2B/32%2B%2B9vl8v/hcAQBA8AjaRe6S1LlzZ1VVVam8vFyPP/64Ro4cqU8//fS09YZhBKz5OtX6r5%2BqOXFH9cfWjhUUFATMyCUmJp7xOQEAgOAX1AErIiJC//Iv/6LU1FQVFBTo%2Buuv11/%2B8he53W41NjaqoaEhoL6%2Bvt6ckXK73eZM1QkNDQ1qamr60Zr6%2BnqFhYWpffv2p%2B1r4sSJ8nq95lZTU2PF6QIAgCAR1AHrhwzDkN/vV0pKisLDw1VaWmruq62tVXV1tXr27ClJSktLU3V1tWpra82akpISORwOpaSkmDUnH%2BNETWpqqsLDw0/bh8PhMB8fcWIDAAAXD9u%2B7PmXevbZZzVw4EAlJibq4MGDKioq0gcffKDi4mI5nU498sgjGj9%2BvNq3b6927dppwoQJ6tatm/r27StJSk9PV9euXZWZmakXXnhB3377rSZMmKDs7GwzEI0aNUqFhYXKy8tTdna2Nm3apAULFuj111%2B389QBAMB5LmgD1tdff63MzEzV1tbK6XTquuuuU3Fxsfr16ydJevHFFxUWFqbhw4fryJEjuuOOO7Ro0SKFhoZKkkJDQ7Vq1SqNHj1avXr1UlRUlDIyMjRt2jTzPZKSkrR69WqNGzdOL730kjwej2bNmqW7777blnMGAADBoVWfg3Wx4jlYQKBgek6TFHzPagqm32%2Bw/W4RXC6a52ABAABcDAhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFwuxuAIA1UicV290CAOD/YQYLAADAYgQsAAAAixGwAAAALMYaLACAbYJt7WDFlAF2t4AgwQwWAACAxQhYAAAAFiNgAQAAWIyABQAAYLGgDVgFBQW66aab1LZtW8XHx%2Buuu%2B7Szp07A2r8fr/Gjh2ruLg4RUdHa%2BjQodq7d29AzZ49e3TnnXcqOjpacXFxysnJUWNjY0DNnqf4AAARdElEQVRNWVmZUlJSFBkZqU6dOmnu3Lnn/PwAAEDwCtqAVVZWpjFjxqi8vFylpaU6duyY0tPTdfjwYbMmNzdXK1asUFFRkTZs2KBDhw5pyJAham5uliQ1Nzdr8ODBOnz4sDZs2KCioiItX75c48ePN4%2Bxe/duDRo0SLfeequ2bt2qZ599Vjk5OVq%2BfHmrnzMAAAgOQfuYhuLiwI/2Lly4UPHx8aqsrNRtt90mr9erBQsW6LXXXlPfvn0lSYsXL1ZiYqLWrFmj/v37q6SkRJ9%2B%2Bqlqamrk8XgkSdOnT1dWVpamTJmimJgYzZ07V5dffrlmzpwpSerSpYsqKio0bdo03X333a170gAAICgE7QzWD3m9XklSu3btJEmVlZVqampSenq6WePxeJScnKyNGzdKkjZt2qTk5GQzXElS//795ff7VVlZadacfIwTNRUVFWpqajqn5wQAAIJT0M5gncwwDOXl5emWW25RcnKyJKmurk4RERGKjY0NqHW5XKqrqzNrXC5XwP7Y2FhFRET8aI3L5dKxY8d04MABJSQktOjH7/fL7/ebr30%2B3y8/SQAAEDQuiBmsJ554Qp988olef/31n6w1DEMhISHm65P/fKY1hmGc9mel7xfgO51Oc0tMTDyj8wAAABeGoA9YY8eO1cqVK/X%2B%2B%2B%2BrY8eO5rjb7VZjY6MaGhoC6uvr680ZKbfbbc5UndDQ0KCmpqYframvr1dYWJjat29/yp4mTpwor9drbjU1Nb/4PAEAQPAI2oBlGIaeeOIJvfnmm/r73/%2BupKSkgP0pKSkKDw9XaWmpOVZbW6vq6mr17NlTkpSWlqbq6mrV1taaNSUlJXI4HEpJSTFrTj7GiZrU1FSFh4efsjeHw6GYmJiADQAAXDyCNmCNGTNGixcv1tKlS9W2bVvV1dWprq5OR44ckSQ5nU498sgjGj9%2BvNauXautW7dqxIgR6tatm/mpwvT0dHXt2lWZmZnaunWr1q5dqwkTJig7O9sMRaNGjdKXX36pvLw87dixQ6%2B88ooWLFigCRMm2HbuAADg/Ba0AWvOnDnyer3q06ePEhISzG3ZsmVmzYsvvqi77rpLw4cPV69evdSmTRu9/fbbCg0NlSSFhoZq1apVioyMVK9evTR8%2BHDdddddmjZtmnmMpKQkrV69Wh988IFuuOEG/elPf9KsWbN4RAMAADitoP0U4YmF5j8mMjJSs2fP1uzZs09bc/nll%2Budd9750eP07t1bH3300c/uEQAAXJyCdgYLAADgfEXAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALBY0D6mAQCA1pY6qdjuFn6WiikD7G7hosUMFgAAgMWYwQJOI9j%2BpQoAOH8wgwUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxcLsbgAAznepk4rtbgFAkCFgAQBwgQqmfxxUTBlgdwuW4hYhAACAxYI6YK1bt0533nmnPB6PQkJC9NZbbwXsNwxDkydPlsfjUVRUlPr06aPt27cH1DQ0NCgzM1NOp1NOp1OZmZn67rvvAmq2bdum3r17KyoqSpdddpmee%2B45GYZxzs8PAAAEp6AOWIcPH9b111%2BvwsLCU%2B6fOnWqZsyYocLCQm3ZskVut1v9%2BvXTwYMHzZqMjAxVVVWpuLhYxcXFqqqqUmZmprnf5/OpX79%2B8ng82rJli2bPnq1p06ZpxowZ5/z8AABAcArqNVgDBw7UwIEDT7nPMAzNnDlTkyZN0rBhwyRJr776qlwul5YuXarHHntMO3bsUHFxscrLy9WjRw9J0vz585WWlqadO3eqc%2BfOWrJkiY4ePapFixbJ4XAoOTlZu3bt0owZM5SXl6eQkJBWO18AABAcgnoG68fs3r1bdXV1Sk9PN8ccDod69%2B6tjRs3SpI2bdokp9NphitJuvnmm%2BV0OgNqevfuLYfDYdb0799f%2B/bt0xdffHHK9/b7/fL5fAEbAAC4eFywAauurk6S5HK5AsZdLpe5r66uTvHx8S1%2BNj4%2BPqDmVMc4%2BT1%2BqKCgwFzT5XQ6lZiY%2BMtOBgAABJULNmCd8MNbeIZhBIyd6hbfT9WcWOB%2ButuDEydOlNfrNbeampqz7h8AAASfoF6D9WPcbrek72eZEhISzPH6%2BnpzBsrtduvrr79u8bP79%2B8PqPnhTFV9fb2klrNjJzgcjoBbigAA4OJywc5gJSUlye12q7S01BxrbGxUWVmZevbsKUlKS0uT1%2BvVhx9%2BaNZs3rxZXq83oGbdunVqbGw0a0pKSuTxeHTllVe2zskAAICgEtQB69ChQ6qqqlJVVZWk7xe2V1VVac%2BePQoJCVFubq7y8/O1YsUKVVdXKysrS23atFFGRoYkqUuXLhowYICys7NVXl6u8vJyZWdna8iQIercubOk7x/j4HA4lJWVperqaq1YsUL5%2Bfl8ghAAAJxWUN8irKio0G9%2B8xvzdV5eniRp5MiRWrRokZ566ikdOXJEo0ePVkNDg3r06KGSkhK1bdvW/JklS5YoJyfH/LTh0KFDA56r5XQ6VVpaqjFjxig1NVWxsbHKy8sz3wsAAOCHQgweSX7O%2BXw%2BOZ1Oeb1excTE2N0OzlAwfYcXAAS7c/FdhHb%2B/RvUtwgBAADORwQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYmF2N4BfJnVSsd0tnLGKKQPsbgEAgFbBDBYAAIDFCFgAAAAW4xYhWk0w3c4EAOCXYAYLAADAYgSsM/Tyyy8rKSlJkZGRSklJ0fr16%2B1uCQAAnKcIWGdg2bJlys3N1aRJk7R161bdeuutGjhwoPbs2WN3awAA4DxEwDoDM2bM0COPPKJHH31UXbp00cyZM5WYmKg5c%2BbY3RoAADgPscj9JzQ2NqqyslLPPPNMwHh6ero2btx4yp/x%2B/3y%2B/3ma6/XK0ny%2BXyW99fsP2z5MQEAaG3n4u/IE8c0DMPyY/8UAtZPOHDggJqbm%2BVyuQLGXS6X6urqTvkzBQUF%2BuMf/9hiPDEx8Zz0CABAsHNOP3fHPnjwoJxO57l7g1MgYJ2hkJCQgNeGYbQYO2HixInKy8szXx8/flzffvut2rdvf9qfORs%2Bn0%2BJiYmqqalRTEyMZceFdbhG5z%2Bu0fmPa3T%2BO1%2BvkWEYOnjwoDweT6u/NwHrJ8TFxSk0NLTFbFV9fX2LWa0THA6HHA5HwNill156znqMiYk5r/6DRktco/Mf1%2Bj8xzU6/52P16i1Z65OYJH7T4iIiFBKSopKS0sDxktLS9WzZ0%2BbugIAAOczZrDOQF5enjIzM5Wamqq0tDTNmzdPe/bs0ahRo%2BxuDQAAnIdCJ0%2BePNnuJs53ycnJat%2B%2BvfLz8zVt2jQdOXJEr732mq6//nq7W1NoaKj69OmjsDCy8vmKa3T%2B4xqd/7hG5z%2BuUaAQw47PLgIAAFzAWIMFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyAFaRefvllJSUlKTIyUikpKVq/fr3dLV20CgoKdNNNN6lt27aKj4/XXXfdpZ07dwbU%2BP1%2BjR07VnFxcYqOjtbQoUO1d%2B9emzpGQUGBQkJClJuba45xjez31VdfacSIEWrfvr3atGmjG264QZWVleZ%2BwzA0efJkeTweRUVFqU%2BfPtq%2BfbuNHV98jh07pv/8z/9UUlKSoqKi1KlTJz333HM6fvy4WcN1%2Bh4BKwgtW7ZMubm5mjRpkrZu3apbb71VAwcO1J49e%2Bxu7aJUVlamMWPGqLy8XKWlpTp27JjS09N1%2BPD//yLu3NxcrVixQkVFRdqwYYMOHTqkIUOGqLm52cbOL05btmzRvHnzdN111wWMc43s1dDQoF69eik8PFzvvvuuPv30U02fPj3gWzCmTp2qGTNmqLCwUFu2bJHb7Va/fv108OBBGzu/uPz5z3/W3LlzVVhYqB07dmjq1Kl64YUXNHv2bLOG6/T/GAg6//qv/2qMGjUqYOyaa64xnnnmGZs6wsnq6%2BsNSUZZWZlhGIbx3XffGeHh4UZRUZFZ89VXXxmXXHKJUVxcbFebF6WDBw8aV111lVFaWmr07t3bePLJJw3D4BqdD55%2B%2BmnjlltuOe3%2B48ePG26323j%2B%2BefNsaNHjxpOp9OYO3dua7QIwzAGDx5sPPzwwwFjw4YNM0aMGGEYBtfpZMxgBZnGxkZVVlYqPT09YDw9PV0bN260qSuczOv1SpLatWsnSaqsrFRTU1PANfN4PEpOTuaatbIxY8Zo8ODB6tu3b8A418h%2BK1euVGpqqu655x7Fx8ere/fumj9/vrl/9%2B7dqqurC7hGDodDvXv35hq1oltuuUVr167Vrl27JEkff/yxNmzYoEGDBkniOp2Mx60GmQMHDqi5ubnFF027XK4WX0iN1mcYhvLy8nTLLbcoOTlZklRXV6eIiAjFxsYG1HLNWldRUZEqKytVUVHRYh/XyH6ff/655syZo7y8PD377LP68MMPlZOTI4fDoQcffNC8Dqf6f9%2BXX35pR8sXpaefflper1fXXHONQkND1dzcrClTpuj%2B%2B%2B%2BXJK7TSQhYQSokJCTgtWEYLcbQ%2Bp544gl98skn2rBhw0/Wcs1aT01NjZ588kmVlJQoMjLyjH%2BOa9R6jh8/rtTUVOXn50uSunfvru3bt2vOnDl68MEHzTr%2B32evZcuWafHixVq6dKmuvfZaVVVVKTc3Vx6PRyNHjjTruE4scg86cXFxCg0NbfGv6vr6%2Bhb/YkDrGjt2rFauXKn3339fHTt2NMfdbrcaGxvV0NAQUM81az2VlZWqr69XSkqKwsLCFBYWprKyMs2aNUthYWFyuVxcI5slJCSoa9euAWNdunQxP7zjdrslif/32ex3v/udnnnmGd13333q1q2bMjMzNW7cOBUUFEjiOp2MgBVkIiIilJKSotLS0oDx0tJS9ezZ06auLm6GYeiJJ57Qm2%2B%2Bqb///e9KSkoK2J%2BSkqLw8PCAa1ZbW6vq6mquWSu54447tG3bNlVVVZlbamqqHnjgAfPPXCN79erVq8XjTXbt2qUrrrhCkpSUlCS32x1wjRobG1VWVsY1akX//Oc/dcklgdEhNDTUfEwD1%2BkkNi6wx1kqKioywsPDjQULFhiffvqpkZuba0RHRxtffPGF3a1dlB5//HHD6XQaH3zwgVFbW2tu//znP82aUaNGGR07djTWrFljfPTRR8btt99uXH/99caxY8ds7PzidvKnCA2Da2S3Dz/80AgLCzOmTJlifPbZZ8aSJUuMNm3aGIsXLzZrnn/%2BecPpdBpvvvmmsW3bNuP%2B%2B%2B83EhISDJ/PZ2PnF5eRI0cal112mfHOO%2B8Yu3fvNt58800jLi7OeOqpp8wartP3CFhB6qWXXjKuuOIKIyIiwrjxxhvNRwKg9Uk65bZw4UKz5siRI8YTTzxhtGvXzoiKijKGDBli7Nmzx76m0SJgcY3s9/bbbxvJycmGw%2BEwrrnmGmPevHkB%2B48fP2784Q9/MNxut%2BFwOIzbbrvN2LZtm03dXpx8Pp/x5JNPGpdffrkRGRlpdOrUyZg0aZLh9/vNGq7T90IMwzDsnEEDAAC40LAGCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACL/V%2BSYOKh%2BlHQbgAAAABJRU5ErkJggg%3D%3D\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-9112353636316161705\">\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">40</td>\n",
       "        <td class=\"number\">5035</td>\n",
       "        <td class=\"number\">22.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:63%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">55</td>\n",
       "        <td class=\"number\">2365</td>\n",
       "        <td class=\"number\">10.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:30%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">37</td>\n",
       "        <td class=\"number\">1780</td>\n",
       "        <td class=\"number\">8.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:23%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">31</td>\n",
       "        <td class=\"number\">1125</td>\n",
       "        <td class=\"number\">5.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:15%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">58</td>\n",
       "        <td class=\"number\">790</td>\n",
       "        <td class=\"number\">3.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:10%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">30</td>\n",
       "        <td class=\"number\">756</td>\n",
       "        <td class=\"number\">3.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:10%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">72</td>\n",
       "        <td class=\"number\">666</td>\n",
       "        <td class=\"number\">3.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:9%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">19</td>\n",
       "        <td class=\"number\">628</td>\n",
       "        <td class=\"number\">2.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:8%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">61</td>\n",
       "        <td class=\"number\">598</td>\n",
       "        <td class=\"number\">2.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:8%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">23</td>\n",
       "        <td class=\"number\">501</td>\n",
       "        <td class=\"number\">2.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"other\">\n",
       "        <td class=\"fillremaining\">Other values (74)</td>\n",
       "        <td class=\"number\">7926</td>\n",
       "        <td class=\"number\">35.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme-9112353636316161705\">\n",
       "            <p class=\"h4\">Minimum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">0</td>\n",
       "        <td class=\"number\">4</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">2</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">75</td>\n",
       "        <td class=\"number\">0.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">34</td>\n",
       "        <td class=\"number\">0.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:45%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">15</td>\n",
       "        <td class=\"number\">0.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:20%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "            <p class=\"h4\">Maximum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">79</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">80</td>\n",
       "        <td class=\"number\">6</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:40%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">81</td>\n",
       "        <td class=\"number\">7</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:47%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">82</td>\n",
       "        <td class=\"number\">8</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:53%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">83</td>\n",
       "        <td class=\"number\">15</td>\n",
       "        <td class=\"number\">0.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_item_id\">item_id<br/>\n",
       "            <small>Numeric</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-6\">\n",
       "    <div class=\"row\">\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "                <tr>\n",
       "                    <th>Distinct count</th>\n",
       "                    <td>22170</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>100.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "\n",
       "        </div>\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "\n",
       "                <tr>\n",
       "                    <th>Mean</th>\n",
       "                    <td>11084</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>22169</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Zeros (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram4299568590081960729\">\n",
       "    <img src=\"%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAAZpJREFUeJzt17GN20AQhtGhcCmpXBC7uCLck2OH7sdFuAsJKoCEgwusdWDrkvP94VIE3gu5wQyB/YIdWmutOrterzXPc%2B%2Bx7Nzlcqnz%2Bdx15kvXaf%2BM41hVf394mqYtVmBHlmWpeZ7f701PmwQyDENVVU3T9CGQ168/tliJJ/Hz25dPzx73pqdD94mwIwKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUDwssXQ1lpVVS3L8uHs99uv3uvwRP53Jx7fHvemp00CWde1qqrmed5iPE/s%2BP3zs3Vd63g89lumqoa2QZb3%2B71ut1uN41jDMPQez8601mpd1zqdTnU49H0VbBII7IVHOgQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBALBH0HZQHGfq79bAAAAAElFTkSuQmCC\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives4299568590081960729,#minihistogram4299568590081960729\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives4299568590081960729\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles4299568590081960729\"\n",
       "                                                  aria-controls=\"quantiles4299568590081960729\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram4299568590081960729\" aria-controls=\"histogram4299568590081960729\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common4299568590081960729\" aria-controls=\"common4299568590081960729\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme4299568590081960729\" aria-controls=\"extreme4299568590081960729\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
       "\n",
       "    </ul>\n",
       "\n",
       "    <div class=\"tab-content\">\n",
       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles4299568590081960729\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>1108.5</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>5542.2</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>11084</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>16627</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>21061</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>22169</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>22169</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>11084</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "            <div class=\"col-md-4 col-md-offset-2\">\n",
       "                <p class=\"h4\">Descriptive statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Standard deviation</th>\n",
       "                        <td>6400.1</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>0.57739</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>-1.2</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>11084</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>5542.5</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>245743365</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>40961000</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>173.3 KiB</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram4299568590081960729\">\n",
       "            <img src=\"%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJzt3XtwVGWC//9PC0mD2aQFQtJpiBgtETDIYuJC8MJFTWC5rIO7gmgWZh0GRoGJgWVAajTjrIFyEF2XEWdY75cBXcBiChYTlesmEQhkIMAyzABySxtgQgcYSAI8vz/8cb42CcLKkz4JvF9VXUXOeXL6OedUqt%2BcPul4jDFGAAAAsOY6tycAAABwtSGwAAAALCOwAAAALCOwAAAALCOwAAAALCOwAAAALCOwAAAALCOwAAAALCOwAAAALCOwAAAALCOwAAAALCOwAAAALCOwAAAALCOwAAAALCOwAAAALCOwAAAALCOwAAAALCOwAAAALCOwAAAALCOwAAAALCOwAAAALCOwAAAALCOwAAAALCOwAAAALCOwAAAALCOwAAAALCOwAAAALCOwAAAALCOwAAAALCOwAAAALCOwAAAALCOwAAAALCOwAAAALCOwAAAALCOwAAAALCOwAAAALCOwAAAALCOwAAAALGvp9gSuBefOndOhQ4cUGxsrj8fj9nQAALgmGGN0/PhxBQIBXXddZK8pEVgRcOjQISUnJ7s9DQAArkn79%2B9Xx44dI/qcBFYExMbGSvrmBMfFxbk8GwAArg3V1dVKTk52XocjicCKgPNvC8bFxRFYAABEmBu353CTOwAAgGUEFgAAgGUEFgAAgGUEFgAAgGUEFgAAgGUEFgAAgGUEFgAAgGUEFgAAgGUEFgAAgGUEFgAAgGUEFgAAgGUEFgAAgGX8sedmLn3GCrenAADAFdv4wkC3p2AVV7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsa7aBNXPmTN11112KjY1VQkKCHnroIe3cuTNsTE1NjSZOnKj4%2BHjFxMRo2LBhOnDgQNiYffv2aejQoYqJiVF8fLwmTZqk2trasDGrV69WWlqaWrVqpZtvvlmvv/56o%2B8fAABovpptYK1evVpPPfWUSkpKVFhYqDNnzigzM1MnT550xuTk5GjJkiVasGCB1q1bpxMnTmjIkCE6e/asJOns2bMaPHiwTp48qXXr1mnBggVatGiRJk%2Be7Gxjz549%2Bvu//3vde%2B%2B92rx5s5555hlNmjRJixYtivg%2BAwCA5sFjjDFuT8KGw4cPKyEhQatXr9Z9992nUCik9u3b67333tOIESMkSYcOHVJycrKWL1%2BurKws/fd//7eGDBmi/fv3KxAISJIWLFigMWPGqLKyUnFxcfrZz36mpUuXaseOHc5zjR8/Xn/4wx9UXFx8WXOrrq6Wz%2BdTKBRSXFyc1f1On7HC6vYAAHDDxhcGWt9mY77%2BXkqzvYJ1oVAoJElq27atJKm0tFR1dXXKzMx0xgQCAaWmpqqoqEiSVFxcrNTUVCeuJCkrK0s1NTUqLS11xnx7G%2BfHbNy4UXV1dQ3OpaamRtXV1WEPAABw7bgqAssYo9zcXN1zzz1KTU2VJAWDQUVHR6tNmzZhYxMTExUMBp0xiYmJYevbtGmj6Ojo7xyTmJioM2fO6MiRIw3OZ%2BbMmfL5fM4jOTnZyn4CAIDm4aoIrAkTJmjLli363e9%2Bd8mxxhh5PB7n62//%2B3LHnH9XtaHvlaTp06crFAo5j/3791/WfgAAgKtDsw%2BsiRMnaunSpVq5cqU6duzoLPf7/aqtrVVVVVXY%2BMrKSueKlN/vd65UnVdVVaW6urrvHFNZWamWLVuqXbt2Dc7J6/UqLi4u7AEAAK4dzTawjDGaMGGCFi9erC%2B%2B%2BEIpKSlh69PS0hQVFaXCwkJnWUVFhcrLy9WnTx9JUkZGhsrLy1VRUeGMKSgokNfrVVpamjPm29s4PyY9PV1RUVGNtXsAAKAZa7aB9dRTT%2Bn999/Xhx9%2BqNjYWAWDQQWDQZ06dUqS5PP59MQTT2jy5Mn6/PPPtXnzZj3%2B%2BOPq3r27HnjgAUlSZmamunXrpuzsbG3evFmff/65pkyZorFjxzpXncaPH6%2BvvvpKubm52rFjh95880298cYbmjJlimv7DgAAmrZmG1jz5s1TKBRSv379lJSU5DwWLlzojHn55Zf10EMP6ZFHHtHdd9%2Bt66%2B/Xr///e/VokULSVKLFi20bNkytWrVSnfffbceeeQRPfTQQ5o9e7azjZSUFC1fvlyrVq3S3/7t3%2BqXv/ylXn31VT388MMR32cAANA8XDWfg9WU8TlYAAB8Nz4HCwAAAN%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%2BWrp9gSuxKBBgzRo0KDvHOP1euX3%2BxtcFwqF9MYbb%2Bi9997TAw88IEl6//33lZycrM8%2B%2B0xZWVkqKCjQ9u3btX//fgUCAUnSSy%2B9pDFjxuiFF15QXFyc3Z0CAADNXrO%2BgnU5Vq1apYSEBHXu3Fljx45VZWWls660tFR1dXXKzMx0lgUCAaWmpqqoqEiSVFxcrNTUVCeuJCkrK0s1NTUqLS2N3I4AAIBmo1lfwbqUQYMG6Z/%2B6Z/UqVMn7dmzRz//%2Bc81YMAAlZaWyuv1KhgMKjo6Wm3atAn7vsTERAWDQUlSMBhUYmJi2Po2bdooOjraGXOhmpoa1dTUOF9XV1db3jMAANCUXdWBNWLECOffqampSk9PV6dOnbRs2TINHz78ot9njJHH43G%2B/va/Lzbm22bOnKlf/OIXVzBzAADQnF31bxF%2BW1JSkjp16qRdu3ZJkvx%2Bv2pra1VVVRU2rrKy0rlq5ff7612pqqqqUl1dXb0rW%2BdNnz5doVDIeezfv78R9gYAADRV11RgHT16VPv371dSUpIkKS0tTVFRUSosLHTGVFRUqLy8XH369JEkZWRkqLy8XBUVFc6YgoICeb1epaWlNfg8Xq9XcXFxYQ8AAHDtaNZvEZ44cUJ/%2BtOfnK/37NmjsrIytW3bVm3btlVeXp4efvhhJSUlae/evXrmmWcUHx%2BvH/zgB5Ikn8%2BnJ554QpMnT1a7du3Utm1bTZkyRd27d3d%2BqzAzM1PdunVTdna2fvWrX%2Bkvf/mLpkyZorFjxxJOAACgQc06sDZu3Kj%2B/fs7X%2Bfm5kqSRo8erXnz5mnr1q169913dezYMSUlJal///5auHChYmNjne95%2BeWX1bJlSz3yyCM6deqU7r//fr399ttq0aKFJKlFixZatmyZnnzySd19991q3bq1Ro0apdmzZ0d2ZwEAQLPhMcYYtydxtauurpbP51MoFLJ%2B1St9xgqr2wMAwA0bXxhofZuN%2Bfp7KdfUPVgAAACRQGABAABYRmABAABYRmABAABYRmABAABYRmABAABY5kpgvf/%2B%2Bzp9%2BrQbTw0AANDoXAms3Nxc%2Bf1%2BjRs3TuvXr3djCgAAAI3GlcA6dOiQ3nzzTVVUVOiee%2B7R7bffrpdeekmHDx92YzoAAABWuRJYLVu21PDhw7V06VLt27dPo0eP1ptvvqmOHTtq%2BPDhWrZsmfiAeQAA0Fy5fpO73%2B/X/fffr379%2Bsnj8Wjjxo0aNWqUbr31Vq1du9bt6QEAAPyfuRZYR44c0SuvvKIePXro7rvvVmVlpT755BN99dVXOnjwoIYMGaJ//ud/dmt6AAAA31tLN570Bz/4gZYvX66UlBT96Ec/0ujRo9W%2BfXtn/d/8zd9o6tSpevXVV92YHgAAwBVxJbDi4uL02Wef6d57773omKSkJO3atSuCswIAALDDlcB65513LjnG4/HolltuicBsAAAA7HLlHqynn35ac%2BfOrbf817/%2BtSZPnuzCjAAAAOxxJbA%2B/vhj9e7du97yjIwMLVy40IUZAQAA2ONKYB05ckRt2rSptzwuLk5HjhxxYUYAAAD2uBJYt9xyiz799NN6yz/99FOlpKS4MCMAAAB7XLnJPScnRzk5OTp69KgGDBggSfr888/14osvavbs2W5MCQAAwBpXAmvs2LE6ffq08vPz9dxzz0mSOnbsqFdffVX/8i//4saUAAAArHElsCRp4sSJmjhxoioqKtS6dWvdcMMNbk0FAADAKtcC67ykpCS3pwAAAGCVKze5Hz58WD/84Q914403qlWrVoqOjg57AAAANGeuXMEaM2aM/vznP%2Btf//VflZSUJI/H48Y0AAAAGoUrgbVmzRqtWbNGPXv2dOPpAQAAGpUrbxF27NiRq1YAAOCq5Upgvfzyy5o%2BfboOHDjgxtMDAAA0KlfeIszOztbx48fVqVMnxcXFKSoqKmx9ZWWlG9MCAACwwpXAmjVrlhtPCwAAEBGuBNYTTzzhxtMCAABEhCv3YEnS3r17lZeXp%2BzsbOctwYKCAu3YscOtKQEAAFjhSmCtXbtWt99%2Bu1avXq2PPvpIJ06ckCRt2rRJzz77rBtTAgAAsMaVwPrZz36mvLw8rVy5MuyT2wcMGKCSkhI3pgQAAGCNK4G1ZcsW/eM//mO95QkJCTp8%2BLALMwIAALDHlcC64YYbFAwG6y0vKytThw4dXJgRAACAPa4E1siRIzVt2jQdPnzY%2BUT3L7/8UlOmTNHjjz/uxpQAAACscSWw8vPz5ff7lZSUpBMnTqhbt27q06eP7rrrLv385z93Y0oAAADWuPI5WNHR0Vq4cKH%2B%2BMc/atOmTTp37pzuvPNOdenSxY3pAAAAWOVKYJ3XuXNnde7c2c0pAAAAWOdKYP34xz/%2BzvW//e1vIzQTAAAA%2B1wJrIqKirCv6%2BrqtG3bNh0/flz33XefG1MCAACwxpXA%2Bv3vf19v2ZkzZ/STn/xEXbt2dWFGAAAA9rj2twgv1LJlS02ZMkW/%2BtWv3J4KAADAFWkygSVJu3fvVl1dndvTAAAAuCKuvEU4derUsK%2BNMaqoqNDSpUv12GOPuTElAAAAa1wJrOLi4rCvr7vuOrVv316zZs3S2LFj3ZgSAACANa4E1tq1a914WgAAgIhoUvdgAQAAXA1cuYJ11113OX/k%2BVLWr1/fyLMBAACwy5XA6t%2B/v37zm9%2Boc%2BfOysjIkCSVlJRo586dGjdunLxerxvTAgAAsMKVwDp27Jieeuop5efnhy2fMWOGvv76a/3nf/6nG9MCAACwwpV7sD766CP98Ic/rLd8zJgx%2Bvjjj12YEQAAgD2uBJbX61VRUVG95UVFRbw9CAAAmj1X3iKcNGmSxo8fr82bN6t3796SvrkHa/78%2BXrmmWfcmBIAAIA1rgTWjBkzlJKSon//93/Xm2%2B%2BKUnq2rWr5s%2Bfr1GjRrkxJQAAAGtcCSxJGjVqFDEFAACuSq590Gh1dbXefvttPfvss6qqqpIk/eEPf1BFRYVbUwIAALDClcAqLy9X586d9fzzz2vmzJlOYH300UeaNm3aZW9nzZo1Gjp0qAKBgDwejz755JOw9cYY5eXlKRAIqHXr1urXr5%2B2bdsWNqaqqkrZ2dny%2BXzy%2BXzKzs7WsWPHwsZs3bpVffv2VevWrdWhQwc9//zzMsZ8z70HAABXO1cC6%2Bmnn9aoUaP05z//Wa1atXKWDx48WGvWrLns7Zw8eVI9evTQ3LlzG1z/4osvas6cOZo7d642bNggv9%2BvBx98UMePH3fGjBo1SmVlZVqxYoVWrFihsrIyZWdnO%2Burq6v14IMPKhAIaMOGDfqP//gPzZ49W3PmzPkeew4AAK4FrtyDtWHDBs2bN6/en8vp0KHD/%2BktwkGDBmnQoEENrjPG6JVXXtGMGTM0fPhwSdI777yjxMREffjhhxo3bpx27NihFStWqKSkRL169ZIkzZ8/XxkZGdq5c6duu%2B02ffDBBzp9%2BrTefvtteb1epaam6o9//KPmzJmj3Nzcy/6TPwAA4NrhyhWs6OhonThxot7yXbt2KT4%2B3spz7NmzR8FgUJmZmc4yr9ervn37Op/BVVxcLJ/P58SVJPXu3Vs%2Bny9sTN%2B%2BfcM%2BnysrK0uHDh3S3r17rcwVAABcXVwJrGHDhumXv/ylzpw5I0nyeDw6ePCgpk2b5lxtulLBYFCSlJiYGLY8MTHRWRcMBpWQkFDvexMSEsLGNLSNbz/HhWpqalRdXR32AAAA1w5XAuull17SoUOH5Pf7derUKQ0YMEA333yzWrVqVe/vE16pC9/CM8aELWvoLb5LjTl/g/vF3h6cOXOmc9O8z%2BdTcnLy954/AABofly5B%2Bv8W3CFhYXatGmTzp07pzvvvFNZWVnW7mny%2B/2SvrnKlJSU5CyvrKx0rkD5/X59/fXX9b738OHDYWMuvFJVWVkpqf7VsfOmT5%2Bu3Nxc5%2Bvq6moiCwCAa0jEr2DV1dXpwQcf1J/%2B9CdlZmZq2rRpeuaZZzRw4ECrN4ynpKTI7/ersLDQWVZbW6vVq1erT58%2BkqSMjAyFQiGtX7/eGfPll18qFAqFjVmzZo1qa2udMQUFBQoEArrpppsafG6v16u4uLiwBwAAuHZEPLCioqK0efNmKzF14sQJlZWVqaysTNI3N7aXlZVp37598ng8ysnJUX5%2BvpYsWaLy8nKNGTNG119/vfMJ8l27dtXAgQM1duxYlZSUqKSkRGPHjtWQIUN02223SfrmYxy8Xq/GjBmj8vJyLVmyRPn5%2BfwGIQAAuChX7sF6/PHH9dZbb13xdjZu3KiePXuqZ8%2BekqTc3Fz17NlTzz77rCRp6tSpysnJ0ZNPPqn09HQdPHhQBQUFio2NdbbxwQcfqHv37srMzFRmZqbuuOMOvffee856n8%2BnwsJCHThwQOnp6XryySeVm5sb9hYgAADAt3mMCx9JnpOTo7feektdunRRenq6YmJiwta/%2BOKLkZ5So6qurpbP51MoFLL%2BdmH6jBVWtwcAgBs2vjDQ%2BjYb8/X3Uly5yb20tFR33HGHJGnLli1h63jbDQAANHcRDazdu3crJSVFa9eujeTTAgAARFRE78G69dZbdfjwYefrESNGNPgxCQAAAM1ZRAPrwtu9li9frpMnT0ZyCgAAAI3Old8iBAAAuJpFNLA8Hk%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%2BvXTtm3bwrZRVVWl7Oxs%2BXw%2B%2BXw%2BZWdn69ixY5HeFQAA0Ixc1YElSbfffrsqKiqcx9atW511L774oubMmaO5c%2Bdqw4YN8vv9evDBB3X8%2BHFnzKhRo1RWVqYVK1ZoxYoVKisrU3Z2thu7AgAAmomWbk%2BgsbVs2TLsqtV5xhi98sormjFjhoYPHy5Jeuedd5SYmKgPP/xQ48aN044dO7RixQqVlJSoV69ekqT58%2BcrIyNDO3fu1G233RbRfQEAAM3DVX8Fa9euXQoEAkpJSdHIkSO1e/duSdKePXsUDAaVmZnpjPV6verbt6%2BKiookScXFxfL5fE5cSVLv3r3l8/mcMQ2pqalRdXV12AMAAFw7rurA6tWrl9599119%2Bumnmj9/voLBoPr06aOjR48qGAxKkhITE8O%2BJzEx0VkXDAaVkJBQb7sJCQnOmIbMnDnTuWfL5/MpOTnZ4l4BAICm7qoOrEGDBunhhx9W9%2B7d9cADD2jZsmWSvnkr8DyPxxP2PcaYsGUXrm9ozIWmT5%2BuUCjkPPbv33%2BluwIAAJqRqzqwLhQTE6Pu3btr165dzn1ZF16JqqysdK5q%2Bf1%2Bff311/W2c/jw4XpXvr7N6/UqLi4u7AEAAK4d11Rg1dTUaMeOHUpKSlJKSor8fr8KCwud9bW1tVq9erX69OkjScrIyFAoFNL69eudMV9%2B%2BaVCoZAzBgAA4EJX9W8RTpkyRUOHDtWNN96oyspK/du//Zuqq6s1evRoeTwe5eTkKD8/X7feeqtuvfVW5efn6/rrr9eoUaMkSV27dtXAgQM1duxY/eY3v5Ek/fjHP9aQIUP4DUIAAHBRV3VgHThwQI8%2B%2BqiOHDmi9u3bq3fv3iopKVGnTp0kSVOnTtWpU6f05JNPqqqqSr169VJBQYFiY2OdbXzwwQeaNGmS89uGw4YN09y5c13ZHwAA0Dx4jDHG7Ulc7aqrq%2BXz%2BRQKhazfj5U%2BY4XV7QEA4IaNLwy0vs3GfP29lGvqHiwAAIBIILAAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7AAAAAsI7Au02uvvaaUlBS1atVKaWlpWrt2rdtTAgAATRSBdRkWLlyonJwczZgxQ5s3b9a9996rQYMGad%2B%2BfW5PDQAANEEE1mWYM2eOnnjiCf3oRz9S165d9corryg5OVnz5s1ze2oAAKAJaun2BJq62tpalZaWatq0aWHLMzMzVVRU1OD31NTUqKamxvk6FApJkqqrq63P72zNSevbBAAg0hrjNfL8No0x1rd9KQTWJRw5ckRnz55VYmJi2PLExEQFg8EGv2fmzJn6xS9%2BUW95cnJyo8wRAIDmzvdS4237%2BPHj8vl8jfcEDSCwLpPH4wn72hhTb9l506dPV25urvP1uXPn9Je//EXt2rW76Pd8H9XV1UpOTtb%2B/fsVFxdnbbv4v%2BE8NB2ci6aB89A0cB6%2Bea0%2Bfvy4AoFAxJ%2BbwLqE%2BPh4tWjRot7VqsrKynpXtc7zer3yer1hy2644YZGm2NcXNw1%2B8PTlHAemg7ORdPAeWgarvXzEOkrV%2Bdxk/slREdHKy0tTYWFhWHLCwsL1adPH5dmBQAAmjKuYF2G3NxcZWdnKz09XRkZGfrtb3%2Brffv2afz48W5PDQAANEEt8vLy8tyeRFOXmpqqdu3aKT8/X7Nnz9apU6f03nvvqUePHm5PTS1atFC/fv3UsiWt7CbOQ9PBuWgaOA9NA%2BfBPR7jxu8uAgAAXMW4BwsAAMAyAgsAAMAyAgsAAMAyAgsAAMAyAquZeu2115SSkqJWrVopLS1Na9eudXtKzVpeXp48Hk/Yw%2B/3O%2BuNMcrLy1MgEFDr1q3Vr18/bdu2LWwbVVVVys7Ols/nk8/nU3Z2to4dOxY2ZuvWrerbt69at26tDh066Pnnn3flb2Q1FWvWrNHQoUMVCATk8Xj0ySefhK2P5HFftGiRunXrJq/Xq27dumnJkiWNs9NN1KXOxZgxY%2Br9jPTu3TtsTE1NjSZOnKj4%2BHjFxMRo2LBhOnDgQNiYffv2aejQoYqJiVF8fLwmTZqk2trasDGrV69WWlqaWrVqpZtvvlmvv/564%2Bx0EzRz5kzdddddio2NVUJCgh566CHt3LkzbEwkjzOvNVfAoNlZsGCBiYqKMvPnzzfbt283P/3pT01MTIz56quv3J5as/Xcc8%2BZ22%2B/3VRUVDiPyspKZ/2sWbNMbGysWbRokdm6dasZMWKESUpKMtXV1c6YgQMHmtTUVFNUVGSKiopMamqqGTJkiLM%2BFAqZxMREM3LkSLN161azaNEiExsba2bPnh3RfW1Kli9fbmbMmGEWLVpkJJk6uZ1zAAAHtElEQVQlS5aErY/UcS8qKjItWrQw%2Bfn5ZseOHSY/P9%2B0bNnSlJSUNP5BaCIudS5Gjx5tBg4cGPYzcvTo0bAx48ePNx06dDCFhYVm06ZNpn///qZHjx7mzJkzxhhjzpw5Y1JTU03//v3Npk2bTGFhoQkEAmbChAnONnbv3m2uv/5689Of/tRs377dzJ8/30RFRZn/%2Bq//avyD0ARkZWWZt956y5SXl5uysjIzePBgc%2BONN5oTJ044YyJ1nHmtuTIEVjP0d3/3d2b8%2BPFhy7p06WKmTZvm0oyav%2Beee8706NGjwXXnzp0zfr/fzJo1y1l2%2BvRp4/P5zOuvv26MMWb79u1GUtgLcnFxsZFk/vd//9cYY8xrr71mfD6fOX36tDNm5syZJhAImHPnzjXGbjUrF76oR/K4P/LII2bgwIFh88nKyjIjR460v6PNwMUC6x/%2B4R8u%2Bj3Hjh0zUVFRZsGCBc6ygwcPmuuuu86sWLHCGPNNxF133XXm4MGDzpjf/e53xuv1mlAoZIwxZurUqaZLly5h2x43bpzp3bv3Fe9Xc1RZWWkkmdWrVxtjInucea25MrxF2MzU1taqtLRUmZmZYcszMzNVVFTk0qyuDrt27VIgEFBKSopGjhyp3bt3S5L27NmjYDAYdsy9Xq/69u3rHPPi4mL5fD716tXLGdO7d2/5fL6wMX379g37O5VZWVk6dOiQ9u7dG4E9bF4iedyLi4vr/UxlZWXxM3WBVatWKSEhQZ07d9bYsWNVWVnprCstLVVdXV3YcQwEAkpNTQ07F6mpqWF/eDcrK0s1NTUqLS11xjR0LjZu3Ki6urrG3L0mKRQKSZLatm0rKXLHmdeaK0dgNTNHjhzR2bNn6/2h6cTExHp/kBqXr1evXnr33Xf16aefav78%2BQoGg%2BrTp4%2BOHj3qHNfvOubBYFAJCQn1tpuQkBA2pqFtnF%2BHcJE87hcbw3n5fwYNGqQPPvhAX3zxhV566SVt2LBBAwYMUE1NjaRvjmF0dLTatGkT9n0Xnq8Lj3ObNm0UHR19yXNx5swZHTlypLF2r0kyxig3N1f33HOPUlNTJUXuOPNac%2BX47PxmyuPxhH1tjKm3DJdv0KBBzr%2B7d%2B%2BujIwM3XLLLXrnnXecG3kvdcwbOv6XGmP%2B/xutOXcXF6njzs/UdxsxYoTz79TUVKWnp6tTp05atmyZhg8fftHv4%2Bfk%2B5swYYK2bNmidevWXXKs7eN8sWPOz8Xl4wpWMxMfH68WLVrU%2Bx9EZWVlvf9p4PuLiYlR9%2B7dtWvXLue3Cb/rmPv9fn399df1tnP48OGwMQ1tQ6p/lQaK6HG/2BjOy8UlJSWpU6dO2rVrl6RvjmFtba2qqqrCxl14vi48zlVVVaqrq7vkuWjZsqXatWvXWLvT5EycOFFLly7VypUr1bFjR2d5pI4zrzVXjsBqZqKjo5WWlqbCwsKw5YWFherTp49Ls7r61NTUaMeOHUpKSlJKSor8fn/YMa%2BtrdXq1audY56RkaFQKKT169c7Y7788kuFQqGwMWvWrAn7VemCggIFAgHddNNNkdmxZiSSxz0jI6Pez1RBQQE/U9/h6NGj2r9/v5KSkiRJaWlpioqKCjuOFRUVKi8vDzsX5eXlqqiocMYUFBTI6/UqLS3NGdPQuUhPT1dUVFRj75brjDGaMGGCFi9erC%2B%2B%2BEIpKSlh6yN1nHmtsSDSd9Xjyp3/1dk33njDbN%2B%2B3eTk5JiYmBizd%2B9et6fWbE2ePNmsWrXK7N6925SUlJghQ4aY2NhY55jOmjXL%2BHw%2Bs3jxYrN161bz6KOPNvhxAXfccYcpLi42xcXFpnv37mEfF3Ds2DGTmJhoHn30UbN161azePFiExcXd01/TMPx48fN5s2bzebNm40kM2fOHLN582bn18Ajddz/53/%2Bx7Ro0cLMmjXL7Nixw8yaNeua%2B5iG7zoXx48fN5MnTzZFRUVmz549ZuXKlSYjI8N06NAh7FyMHz/edOzY0Xz22Wdm06ZNZsCAAQ1%2BfMD9999vNm3aZD777DPTsWPHBj8%2B4Omnnzbbt283b7zxxjX1MQ0/%2BclPjM/nM6tWrQr7SIy//vWvzphIHWdea64MgdVM/frXvzadOnUy0dHR5s4773R%2BhRffz/nPV4qKijKBQMAMHz7cbNu2zVl/7tw589xzzxm/32%2B8Xq%2B57777zNatW8O2cfToUfPYY4%2BZ2NhYExsbax577DFTVVUVNmbLli3m3nvvNV6v1/j9fpOXl3dNf0TDypUrjaR6j9GjRxtjInvcP/74Y3PbbbeZqKgo06VLF7No0aJG3fem5rvOxV//%2BleTmZlp2rdvb6KiosyNN95oRo8ebfbt2xe2jVOnTpkJEyaYtm3bmtatW5shQ4bUG/PVV1%2BZwYMHm9atW5u2bduaCRMmhH2EhjHGrFq1yvTs2dNER0ebm266ycybN6/R97%2BpaOgcSDJvvfWWMyaSx5nXmu/PY8w1/DHSAAAAjYB7sAAAACwjsAAAACwjsAAAACwjsAAAACwjsAAAACwjsAAAACwjsAAAACwjsAAAACwjsAAAACwjsAAAACwjsAAAACwjsAAAACwjsAAAACwjsAAAACwjsAAAACwjsAAAACwjsAAAACwjsAAAACz7/wDikR7oKCF3dQAAAABJRU5ErkJggg%3D%3D\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common4299568590081960729\">\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">2047</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2724</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4759</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">19100</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">17053</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">21151</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">10912</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">8865</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">15010</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">12963</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"other\">\n",
       "        <td class=\"fillremaining\">Other values (22160)</td>\n",
       "        <td class=\"number\">22160</td>\n",
       "        <td class=\"number\">100.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme4299568590081960729\">\n",
       "            <p class=\"h4\">Minimum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">0</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "            <p class=\"h4\">Maximum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">22165</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">22166</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">22167</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">22168</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">22169</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_item_name\">item_name<br/>\n",
       "            <small>Categorical, Unique</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-3 collapse in\" id=\"minivalues-59120353473648408\"><table border=\"1\" class=\"dataframe example_values\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>First 3 values</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>12 ЛЕТ РАБСТВА (BD)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>ВОЙНА НЕВЕСТ (BD)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Nanoblock Сиднейский оперный театр</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table></div>\n",
       "<div class=\"col-md-6 collapse in\" id=\"minivalues-59120353473648408\"><table border=\"1\" class=\"dataframe example_values\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Last 3 values</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>ДЕТЯМ  Успокаивающая музыка для мам и малышей</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>THE DOORS  Soft Parade  MINIVINYL (фирм.)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Радзинский Эдвард  Наполеон: Жизнь после смерт...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table></div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#values-59120353473648408,#minivalues-59120353473648408\" aria-expanded=\"false\"\n",
       "       aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"col-md-12 collapse\" id=\"values-59120353473648408\">\n",
       "    <p class=\"h4\">First 10 values</p>\n",
       "    \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">! ВО ВЛАСТИ НАВАЖДЕНИЯ (ПЛАСТ.)         D</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">!ABBYY FineReader 12 Professional Edition Full [PC, Цифровая версия]</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">***В ЛУЧАХ СЛАВЫ   (UNV)                    D</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">***ГОЛУБАЯ ВОЛНА  (Univ)                      D</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">***КОРОБКА (СТЕКЛО)                       D</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "    <p class=\"h4\">Last 10 values</p>\n",
       "    \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">Ядерный титбит 2 [PC, Цифровая версия]</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Язык запросов 1С:Предприятия  [Цифровая версия]</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Язык запросов 1С:Предприятия 8 (+CD). Хрусталева Е.Ю.</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Яйцо для Little Inu</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Яйцо дракона (Игра престолов)</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "    <div class=\"row headerrow highlight\">\n",
       "        <h1>Correlations</h1>\n",
       "    </div>\n",
       "    <div class=\"row variablerow\">\n",
       "    <img src=\"%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJzs3Xl8TXfi//F3IpHNEq1cu0Yj0UErlxBVVCyjqpaqkfmprZYuSFCqYzqlnVDMpNNRahk1DDVDa%2BnQGjrVVo2phAqjlIo1EiSSWrJJIvf3h3G/bnOQODmSmNfz8bgP8jnL/eRDm7f3uedeN4fD4RAAAABQytzLegIAAAC4NxE0AQAAYAmCJgAAACxB0AQAAIAlCJoAAACwBEETAAAAliBoAgAAwBIETQAAAFiCoAkAAABLeJT1BADgdk6fPq0uXbrcdLunp6eqVKmiwMBAderUSYMGDVKVKlXu4gwBAEbc%2BAhKAOXdjUEzJCSkSIjMz89XRkaGkpOTJUl169bVsmXL9MADD9z1uQIA/g9BE0C5d2PQXL58ucLDww33i4uL0%2BjRo5WZmSm73a5Vq1bdzWkCAH6C12gCuGeEh4fr5ZdfliQlJCTou%2B%2B%2BK%2BMZAcD/NoImgHtKt27dnL/ft29fGc4EAMDNQADuKVWrVnX%2BPisry2Xbrl27tGLFCu3Zs0cXLlxQtWrVFBoaqsGDB%2BvRRx81PN%2BlS5e0atUqbdu2TYmJicrMzJSPj48aNmyoiIgIDRkyRNWrV3c5pkmTJpKkHTt2aNasWdq6davc3d3VrFkz/fnPf5aHh4f27dunZcuW6eDBgzpz5oy8vLzUqFEjde3aVQMHDjS8mSk3N1erVq3Spk2blJiYqPz8fNWqVUvt2rXT8OHDFRgY6LJ/XFychgwZohYtWmjlypVasWKFPv74Y508eVKenp5q1qyZBg8erK5du97JUgPAbRE0AdxTTp486fx97dq1nb%2BPjY3V4sWLJUnVq1dXSEiIUlNTtXXrVm3dulUjR47UK6%2B84nKuEydOaNiwYTpz5ow8PDzUsGFD1atXT8nJyTpw4IAOHDigTz/9VGvXrpWfn1%2BRuURFRSkhIUEhISHKyMhQQECAPDw89Nlnn2nChAkqKChQjRo11LhxY2VlZek///mP9u3bpw0bNmjVqlUuYfPs2bN67rnndOzYMUlSYGCg/Pz8dPToUa1evVoff/yxZs2apSeffLLIPPLz8zVq1Ch98803qlGjhoKCgnT8%2BHHt3LlTO3fu1BtvvKH/9//%2Bn7mFBwAjDgAo55KSkhwhISGOkJAQx86dO2%2B57%2BTJkx0hISGOZs2aOdLS0hwOh8Pxt7/9zRESEuIICwtz/P3vf3fuW1hY6Pj0008doaGhjpCQEMeHH37ocq5BgwY5QkJCHAMGDHCcO3fO5bj169c7HnroIUdISIjjgw8%2BcDnu%2BlybN2/uiI%2BPdzgcDsfVq1cdP/74o%2BPq1auOxx57zBESEuJYvHixo6CgwHncd99952jbtq0jJCTEsWjRIud4QUGBo0%2BfPo6QkBBH9%2B7dHd9//71z2%2BXLlx2vvfaa83veu3evc9vOnTudcwkNDXVs2LDBue3SpUuOoUOHOkJCQhxt2rRx5Ofn33JdAeBO8BpNABVebm6uDh48qGnTpunjjz%2BWJA0bNkw1a9ZUXl6e5s6dK0l666231Lt3b%2Bdxbm5uevLJJ51N5ty5c1VQUCBJSk9P15EjRyRJMTExstlsLsf17dtXbdq0kSQdPnzYcF49evRQ69atJUnu7u7y9/dXRkaG0tLSJEkDBgxQpUqVnPs3a9ZMEyZMUNeuXeXv7%2B8c37x5s77//nt5eXlp8eLFeuihh5zbqlSpounTp6tDhw7Kz8/XO%2B%2B8YziX6Oho9erVy/l11apVnd/3hQsXdPz48ZusLgDcOS6dA6hQhgwZctt9fvGLX2jcuHGSrt19fv78efn5%2Bd30Td979%2B6tmJgYnTt3TgcPHtQjjzyi%2B%2B%2B/Xzt37lRubq68vb2LHHP16lXnpe3c3FzD87Zq1arIWI0aNVS9enVdvHhRkyZN0ksvvaQWLVrI3f3av/sHDBigAQMGuBzzxRdfSJI6d%2B6sBg0aGD7Xc889p%2B3btys%2BPl6XL192ea2qJEVERBQ5JigoyPn7S5cuGZ4XAMwgaAKoUH76hu1ubm7y8vKSv7%2B/mjRpoq5du6px48bO7ddbyfz8fD377LM3PW%2BlSpVUWFioY8eO6ZFHHnGOe3t768yZM9q3b59OnTqlpKQkHT16VN9//72ys7MlSYWFhYbnDAgIMHyeSZMm6fXXX9e2bdu0bds2Va9eXeHh4XrsscfUqVMnl9eWSnK2jc2aNbvp/K9vu3r1qk6ePKnmzZu7bK9Vq1aRY24M0FevXr3puQHgThE0AVQov/nNb276hu1GLl%2B%2BLEnKy8vTnj17brv/jc3esWPH9Lvf/U7btm1zCZNVqlRRWFiYUlNTdejQoZuey6gJla61lg888ICWLl2qf//737p48aI%2B%2B%2BwzffbZZ3Jzc1OnTp30xhtvOANnZmamJBVpKW90Y/j%2B6d320rWP6bwVB5/dAcACBE0A9zQfHx9J1xq/devWFfu49PR0DRo0SOnp6apbt64GDBigpk2b6sEHH1T9%2BvXl5uamiRMn3jJo3kp4eLjCw8OVm5ur3bt3a9euXdq%2BfbsOHDigL7/8UmfOnNHHH38sNzc35x3t10OzkRsDstEd8ABQFgiaAO5pjRo1knTtrYoKCgrk4VH0f3sOh0NxcXGqXbu26tatq8qVK2vt2rVKT0%2BXv7%2B/1q5dq/vuu6/IcefOnSvxfPLy8pSUlKTMzEy1aNFC3t7eat%2B%2Bvdq3b68JEybo008/1csvv6xDhw7p8OHDeuihh/Tggw/q4MGDOnDgwE3Pu3//fknXXkrQsGHDEs8LAKzAXecA7mmtW7dW1apVlZWVddNGc%2BPGjRo6dKh69Oihs2fPSrr2%2BeqSVLduXcOQmZiYqL1790oq2esbv/76az355JN6/vnnlZeXV2R7u3btnL%2B/ft7rN/J88cUXSkpKMjzv8uXLJUmhoaGqVq1asecDAFYiaAK4p/n6%2Bur555%2BXJM2YMUNr1651eb3l559/rmnTpkm69nZE19vABx98UJJ06NAhbdmyxbm/w%2BHQ119/rZEjRyo/P1%2BSlJOTU%2Bz5dOzYUTVq1NCFCxf06quv6sKFC85tWVlZmj17tiSpTp06Cg4OliQ98cQTatKkia5cuaJRo0a5XK7PzMzU66%2B/rn/961/y8PDQpEmTir84AGAxLp0DuOeNGjVKSUlJ%2BvDDD/XrX/9av//971W/fn2dO3dOqampkqSWLVtq%2BvTpzmP69%2B%2Bvv/71rzp58qSio6NVr1491ahRQ2fOnFF6ero8PT3Vpk0bxcfHl%2BgSeuXKlTVnzhyNGDFCmzZt0tatW9WwYUO5u7srKSlJ2dnZ8vHx0axZs1S5cmVJkoeHh%2BbPn69Ro0bp2LFj6tOnj8snA11/C6Y333xTYWFhpbt4AGACQRPAPc/NzU0xMTHq3r27Vq1apb179zrfAD00NFRPPfWUIiMjncFOunYX95o1a7R48WJ9%2BeWXOn36tM6fP6/atWurU6dOGjp0qHx9fdW1a1cdOnRIKSkpqlu3brHmEx4ero8%2B%2BkhLly7Vt99%2BqxMnTsjDw0O1a9dW%2B/btNXz48CLnql%2B/vtauXau//e1v2rx5s44ePaqzZ8%2BqTp066tChg5599tkin3UOAGXNzcF7WgAAAMACvEYTAAAAliBoAgAAwBIETQAAAFiCoAkAAFDBZGRkqFu3boqLi7vpPtu2bVOvXr0UGhqqHj166Msvv3TZvnjxYnXs2FGhoaEaPHiwjh07VurzJGgCAABUIN9%2B%2B60iIyN16tSpm%2B5z4sQJRUVFady4cdq9e7eioqI0fvx459uxrV%2B/XitWrNCSJUsUFxenZs2aKTo6WqV9jzhBEwAAoIJYv369Jk2apAkTJtx2v7CwMHXt2lUeHh568skn1bp1a61evVqS9OGHH2rgwIEKDg6Wl5eXJk6cqJSUlFs2pHeCoAkAAHCXpKam6sCBAy6P6x8cURzt27fXP//5Tz355JO33C8xMVEhISEuY40bN3Z%2BsthPt3t6eiowMNDlk8dKA2/Yjv/j5lbWM8CtNGokHTkiBQdLx4%2BX9WxwO//9rHSUU5UqSbVqSefOSSX4rHqUkXr1yuZ5Lfi5uPrddzVv3jyXsbFjxyoqKqpYxwcEBBRrv6ysLPn4%2BLiMeXt7Kzs7u1jbSwtBE6go/P2v/XD09y/rmQAVn7v7tRDh7k7QxF0VGRmpzp07u4wVNzyWhI%2BPj3Jzc13GcnNz5efnV6ztpYWgCQAAYMS99F9haLPZZLPZSv28PxUSEqIDBw64jCUmJqp58%2BaSpODgYB05ckQRERGSpPz8fJ04caLI5XazeI0mAADAPaZ3796Kj4/Xpk2bVFBQoE2bNik%2BPl59%2BvSRJD3zzDP64IMPdOjQIV25ckVvv/22atasqbCwsFKdB40mAACAEQsaTSvZ7Xa9%2Beab6t27t4KCgvTee%2B8pNjZWr732murVq6e5c%2BeqUaNGkqT%2B/fvr8uXLGjNmjDIyMvTwww9r0aJF8vT0LNU5uTlK%2Bw2TUHFxM1D5ZrdLe/ZILVtKCQllPRvcDjcDlW%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%2B/rvj4eFWqVEm9e/fWq6%2B%2BKg8P10g3cuRIffvtty5j2dnZioyM1G9/%2B1udP39ejz32mHx9fZ3ba9SooS%2B%2B%2BKJU50vQBAAAMFIOG83x48erVq1a2r59u86fP6%2BXXnpJy5Yt08iRI132e//9912%2BXrNmjebNm6exY8dKkvbv36969eqVerD8qfK3ggAAACji5MmTio%2BP1yuvvCIfHx81aNBAo0eP1sqVK2953LFjxxQTE6PY2FjZbDZJ14Jm8%2BbNLZ8zjSYAAIARCxrN1NRUpaWluYwFBAQ4A%2BCtHDlyRP7%2B/qpVq5ZzLCgoSCkpKbp06ZKqVatmeNybb76pvn37KiwszDm2f/9%2BXbx4UU899ZTOnz%2Bvhx9%2BWK%2B%2B%2BqoaN258h9%2BZMYImAACAEQuC5urVqzVv3jyXsbFjxyoqKuq2x2ZlZcnHx8dl7PrX2dnZhkFz9%2B7d2rdvn2JjY13Gq1WrpsaNG2vUqFGqXLmy5syZo%2Beee06bNm1S1apVS/pt3RRBEwAA4C6JjIxU586dXcYCAgKKdayvr69ycnJcxq5/7efnZ3jM6tWr1aNHjyLP8fbbb7t8PWXKFK1du1a7d%2B9WREREseZTHARNAAAAIxY0mjabrViXyY0EBwfrwoULOn/%2BvGrWrClJOnr0qGrXrm3YQhYUFGjr1q167733XMYzMzP13nvvadCgQapXr54k6erVqyooKJC3t/cdze1muBkIAACgAggMDFSrVq301ltvKTMzU0lJSZo/f7769%2B9vuP/hw4d15coVtWzZ0mW8SpUq%2Bve//63Zs2fr8uXLysrKUkxMjOrXr%2B/yOs7SQNAEAAAw4u5e%2Bg%2BT3n33XRUUFKhLly4aMGCAOnTooNGjR0uS7Ha7NmzY4Nw3KSlJ1atXl5eXV5HzzJ8/X4WFheratas6dOigtLQ0LV68WJ6enqbneCM3h8PhKNUzouJycyvrGeBW7HZpzx6pZUspIaGsZ4PbOX26rGeAW/H0lGw2KTVVys8v69ngdv57efeu69699M%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%2B%2BGHZ7Xbn4%2Buvv5Z0rTybPXu22rVrJ7vdrpdeekmpqamlPl%2BC5m3UrVtXCQkJqlu3rn788ccynwMAALhL3N1L/2HS%2BPHj5evrq%2B3bt2vNmjX65ptvtGzZMsN9v/vuOy1ZskQJCQnOR8eOHSVJCxYs0I4dO7R27Vpt375d3t7e%2Bs1vfmN6fj9F0LyN06dPq0mTJho2bJh2796tRYsW6cUXX5QknTp1Si%2B%2B%2BKLCw8MVERGhd955R3l5eZKutYwDBw7U7Nmz1aZNG7Vt21YrVqzQhx9%2BqIiICLVq1UpTp04t0RxOnz4tSTp69KgGDx4su92uXr166eDBg9Z88wAAoNw4efKk4uPj9corr8jHx0cNGjTQ6NGjtXLlyiL7JiUl6eLFi2ratKnhuT766CONGjVKderUUZUqVfTaa6/p66%2B/VlJSUqnOmddoFtP06dM1ZcoUtWnTRlFRUcrOztawYcPUs2dPzZkzRxkZGYqOjlZhYaEmTpwoSfr222/185//XDt37tSqVas0ffp09ejRQ5s2bVJiYqIiIyPVq1cvtW7dutjzyM/P1wsvvKCOHTvq/fff16lTpzRq1Ci5l/BfSampqUpLS3MZC2jUSDZ//xKdB3fRQw%2B5/oryzdOzrGeAW/HwcP0V5Vd%2Bftk9twWv0TT8%2BRsQIJvNdttjjxw5In9/f9WqVcs5FhQUpJSUFF26dEnVqlVzju/fv19%2Bfn6aMGGC9u/fr5o1a2rYsGHq37%2B/Ll%2B%2BrLNnzyokJMS5f82aNVW9enUdPny4VO9F4b%2BwO/TVV18pLy9PL7/8stzc3FSnTh2NGzdO0dHRzqDp6%2BuroUOHys3NTe3bt9fVq1c1YsQI%2Bfj46OGHH5bNZlNycnKJgmZCQoLOnDmjyZMny8vLS8HBwXruuef0l7/8pUTzX716tebNm%2BcyNnbcOEWNG1ei86AM/PWvZT0D4N5x331lPQPcTnJy2T23BUHT8Ofv2LGKioq67bFZWVny8fFxGbv%2BdXZ2tkvQzMvLU2hoqCZMmKDg4GDFxcUpKipKfn5%2Bstvtkq7llBt5e3srKyvrjr6vmyFo3qHk5GRlZGS4hESHw6H8/Hylp6dLkvz9/eXm5iZJzsbxxr8E7u7uKiwsLNHznjt3TjVq1JC3t7dzrGHDhiWef2RkZJEbiAJ69ZJKGFhxFz300LWQOXCgdOhQWc8Gt7N5c1nPALfi4XEtZGZkSDe5kQKwguHP34CAYh3r6%2BurnJwcl7HrX/v5%2BbmM9%2B3bV3379nV%2B3b59e/Xt21f/%2BMc/1K5dO5djr8vNzS1yHrMImneodu3aatiwoTbf8MMkMzNT6enpuu%2B//0K%2BHjJLU506dZSRkaGsrCznX4azZ8%2BW%2BDw2m61oTX/8eGlMEVY7dEhKSCjrWeB2yvJyH4qvoIA/K9ycBY2m4c/fYgoODtaFCxd0/vx51axZU9K1%2BzZq166tqlWruuy7Zs0a%2Bfn5qUePHs6xvLw8eXl5qXr16qpVq5YSExOdl8/T0tJ04cIFl8vppYGbgUqgcuXKunz5siQpIiJCWVlZev/995WXl6dLly7p1Vdf1YQJEywJmNfZ7XY1atRI06dPV05Ojk6ePKk///nPlj0fAAAoHwIDA9WqVSu99dZbyszMVFJSkubPn6/%2B/fsX2TczM1MxMTE6ePCgCgsL9dVXX%2BmTTz5RZGSkJKlfv35asGCBkpKSlJmZqbfeektt2rS5o6ukt0LQLIG%2Bfftq7dq1GjhwoKpUqaJly5YpLi5OHTt2VNeuXeXu7q4FCxZYOodKlSrpT3/6k1JTU9WuXTuNHDlSXbp0sfQ5AQD4n1QO397o3XffVUFBgbp06aIBAwaoQ4cOGj16tKRrZdSGDRskSUOHDtWgQYM0duxY2e12xcbGavbs2QoLC5MkjRkzRo8//rieffZZPf7447py5Yr%2B%2BMc/mp7fT7k5HA5HqZ8VFZOFTSxKgd0u7dkjtWzJpfOK4L9vR4ZyytNTstmk1FQunVcE9eqVzfPOnFn655wypfTPWY7RaAIAAMAS3AxUDoSHhzvf6N3Ip59%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%2B3adP39eL730kpYtW6aRI0e67Pf555/rD3/4gxYvXqwWLVpo7969ev7551WzZk11795diYmJys/P1549e1S5cmXL5lv%2BVhAAAABFnDx5UvHx8XrllVfk4%2BOjBg0aaPTo0Vq5cmWRfc%2BdO6dRo0YpNDRUbm5ustvtCg8P165duyRJ%2B/fvV5MmTSwNmRKNJgAAgDELGs3U1FSlpaW5jAUEBMhms9322CNHjsjf31%2B1atVyjgUFBSklJUWXLl1StWrVnOPXL5Ffl56erl27dmnKlCmSrgXNK1eu6JlnnlFycrKCgoI0ceJEtWzZ0sy3VwRBEwAAwIgFQXP16tWaN2%2Bey9jYsWMVFRV122OzsrLk4%2BPjMnb96%2BzsbJegeaO0tDS98MILat68uZ566ilJkre3tx555BGNGzdO1atX18qVKzVixAht2LBBDRo0uJNvzRBBEwAA4C6JjIxU586dXcYCAgKKdayvr69ycnJcxq5/7efnZ3jM3r17NW7cOIWFhWnmzJnOm4Z%2B9atfuew3YsQIrVu3Ttu2bdOgQYOKNZ/iIGgCAAAYsaDRtNlsxbpMbiQ4OFgXLlzQ%2BfPnVbNmTUnS0aNHVbt2bVWtWrXI/mvWrNH06dMVHR2t4cOHu2x755131L17dzVt2tQ5lpeXJy8vrzua281wMxAAAEAFEBgYqFatWumtt95SZmamkpKSNH/%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%2B%2BaXL9sWLF6tjx44KDQ3V4MGDdezYsVKfL0ETAADAiLt76T9MGj9%2BvHx9fbV9%2B3atWbNG33zzjZYtW1ZkvxMnTigqKkrjxo3T7t27FRUVpfHjx%2BvKk3d9AAAgAElEQVTcuXOSpPXr12vFihVasmSJ4uLi1KxZM0VHR8vhcJie440ImgAAABXAyZMnFR8fr1deeUU%2BPj5q0KCBRo8erZUrVxbZd/369QoLC1PXrl3l4eGhJ598Uq1bt9bq1aslSR9%2B%2BKEGDhyo4OBgeXl5aeLEiUpJSVFcXFypzpnXaOL/nD5d1jPArXh6Xvt182YpP79s54Lbq1%2B/rGeAW7HbpT17pCeekBISyno2uJ1SbtmKzYLXaKampiotLc1lLCAgQDab7bbHHjlyRP7%2B/qpVq5ZzLCgoSCkpKbp06ZKqVavmHE9MTFRISIjL8Y0bN9ahQ4ec20eNGuXc5unpqcDAQB06dEht27a9o%2B/NCEETAADAgENupX7O1atXa968eS5jY8eOVVRU1G2PzcrKko%2BPj8vY9a%2Bzs7NdgqbRvt7e3srOzi7W9tJC0AQAALhLIiMj1blzZ5exgICAYh3r6%2BurnJwcl7HrX/v5%2BbmM%2B/j4KDc312UsNzfXud/ttpcWgiYAAICBwsLSP6fNZivWZXIjwcHBunDhgs6fP6%2BaNWtKko4eParatWuratWqLvuGhITowIEDLmOJiYlq3ry581xHjhxRRESEJCk/P18nTpwocrndLG4GAgAAMFBYWPoPMwIDA9WqVSu99dZbyszMVFJSkubPn6/%2B/fsX2bd3796Kj4/Xpk2bVFBQoE2bNik%2BPl59%2BvSRJD3zzDP64IMPdOjQIV25ckVvv/22atasqbCwMHOT/AmCJgAAQAXx7rvvqqCgQF26dNGAAQPUoUMHjR49WpJkt9u1YcMGSdduEnrvvfe0aNEitW7dWvPnz9fcuXPVqFEjSVL//v01bNgwjRkzRm3bttXBgwe1aNEieV6/8bSUuDlK%2Bw2TUHElJ5f1DHArnp6SzSalpnLXeUXAXefl2/W7zlu25K7ziqCMosqVK6V/Ti%2Bv0j9neUajCQAAAEtwMxAAAIABK24G%2Bl9D0AQAADBA0DSPS%2BcAAACwBI0mAACAARpN82g0AQAAYAkaTQAAAAM0muYRNAEAAAwQNM3j0jkAAAAsQaMJAABggEbTPBpNAAAAWIJGEwAAwACNpnkETQAAAAMETfO4dA4AAABL0GgCAAAYoNE0j0YTAAAAlqDRBAAAMECjaR5BEwAAwABB0zwunQMAAMASNJoAAAAGaDTNo9EEAACAJWg0AQAADNBomkfQBAAAMEDQNI9L5wAAALAEjSYAAIABGk3zaDQBAABgCRpNAAAAAzSa5hE0AQAADBA0zePSOQAAACxBowkAAGCARtM8Gk0AAABYgkYTAADAAI2meQRNAAAAAwRN87h0DgAAAEvQaAIAABig0TSPRhMAAACWoNEEAAAwQKNpHkETAADAAEHTPC6dAwAAwBI0mgAAAAZoNM0jaAIAABggaJrHpXMAAABYgkYTAADAAI2meQRNAACAe0R2drZiYmL0xRdfqKCgQF26dNG0adPk5%2BdnuP%2BWLVs0f/58JSUlyd/fX/369dPo0aPl7n7tonePHj2UkpLi/FqS1qxZo6CgoGLNh6AJAABgoCI2mjExMTpz5oy2bNmiq1evavz48YqNjdW0adOK7Pvdd99p8uTJ%2BuMf/6jHH39cx48f16hRo%2BTr66vhw4crMzNTx48f19atW1WvXr07mg%2Bv0QQAADBQWFj6Dyvl5ORo48aNio6Olr%2B/v%2B6//35NmjRJ69atU05OTpH9k5OT9ctf/lIRERFyd3dXUFCQunXrpl27dkm6FkT9/f3vOGRKNJoAAAB3TWpqqtLS0lzGAgICZLPZinV8bm6uzp07Z7gtJydH%2Bfn5CgkJcY4FBQUpNzdXJ06c0M9%2B9jOX/bt3767u3bu7nPurr75Sr169JEn79%2B%2BXj4%2BPBg0apCNHjqhevXqKiopSREREseYqETQBAAAMWdFArl69WvPmzXMZGzt2rKKioop1/L59%2BzRkyBDDbePGjZMk%2Bfr6Osd8fHwkSVlZWbc8b2ZmpsaNGydvb28NGzZMkuTm5qaHH35YL7/8surWravNmzcrKipKH3zwgUJDQ4s1X4ImAADAXRIZGanOnTu7jAUEBBT7%2BPDwcB0%2BfNhw28GDBzVnzhzl5OQ4b/65fsm8SpUqNz3nsWPHFB0drfvvv1/Lly937jty5EiX/Xr37q1PPvlEW7ZsIWgCAACYYUWjabPZin2ZvKQaNWokT09PJSYmqkWLFpKko0ePytPTU4GBgYbHbNu2TS%2B//LIGDBigiRMnysPj/6LhkiVL1LRpUz366KPOsby8PHl5eRV7TtwMBAAAYKCi3Qzk4%2BOjHj16KDY2VhkZGcrIyFBsbKyeeuopeXt7F9l/7969GjNmjKZMmaJXX33VJWRK0pkzZ/Tmm28qKSlJBQUFWrNmjRISEvT0008Xe04ETQAAgHvEtGnTFBgYqF69eumJJ55Q/fr1NXXqVOf2nj17auHChZKkhQsXqqCgQDNmzJDdbnc%2Brl8ynzx5sjp27KiBAwcqLCxMq1at0p/%2B9Cc98MADxZ6Pm8PhcJTut4gKKzm5rGeAW/H0lGw2KTVVys8v69ngdurXL%2BsZ4FbsdmnPHqllSykhoaxng9spo6iyZUvpn/OGm7z/J9BoAgAAwBLcDAQAAGCgIn4yUHlD0AQAADBA0DSPS%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%2Bqpp54q62ncEbvdrt27dxtui4uLU5MmTe7yjAAAQHkTExOjM2fOaMuWLfrss8905swZxcbG3nT//fv3KyYmRgkJCc5HZGSkJGn9%2BvVasWKFlixZori4ODVr1kzR0dFyOBzFnk%2BJgmbdunWVkJCgunXr6scffyzJoeXC5cuXlZ%2BfX9bTuCMJCQkKCwsr62kAAPA/o6I1mjk5Odq4caOio6Pl7%2B%2Bv%2B%2B%2B/X5MmTdK6deuUk5NTZP%2B8vDz98MMPat68ueH5PvzwQw0cOFDBwcHy8vLSxIkTlZKSori4uGLPqURB8/Tp02rSpImGDRum3bt3a9GiRXrxxRclSadOndKLL76o8PBwRURE6J133lFeXp4kad26dRo4cKBmz56tNm3aqG3btlqxYoU%2B/PBDRUREqFWrVpo6dWqx53HgwAENHjxYdrtd7du315w5c5zpes2aNerXr5/Cw8Nlt9v1wgsvKCMjQ0lJSRo1apSka%2B1gQkKCHA6Hli9fru7duyssLEwDBw7Ud99953yeH3/8URMmTFCrVq3UpUsXrVixQk2bNtXp06clSYcPH9aoUaPUpk0bdezYUW%2B88YYuX77s/J779eun4cOHKywsTAsXLtTPfvYznT171nn%2B/fv3KzQ0VJmZmbf9nps0aeL8g01NTdWLL76oli1bqkuXLtqxY0ex1w4AABRPeQyaubm5Onny5E0f%2Bfn5CgkJce4fFBSk3Nxcw5cOHjp0SAUFBXr33XfVrl07de/eXX/6059U%2BN%2BJJiYmupzL09NTgYGBOnToULHne0d3nU%2BfPl1TpkxRmzZtFBUVpezsbA0bNkw9e/bUnDlzlJGRoejoaBUWFmrixImSpG%2B//VY///nPtXPnTq1atUrTp09Xjx49tGnTJiUmJioyMlK9evVS69atb/ncFy5c0PDhwzV48GAtWbJEZ8%2Be1eDBg1WrVi01bdpU06dP1/Lly/XII4/o7NmzGjp0qJYvX67x48dr8eLFGjJkiBISEiRJK1eu1NKlS7VgwQIFBQXp73//u5577jn94x//UM2aNTVp0iS5ublp69atKiws1KRJk3T16lVJ10LokCFD1K9fP82dO1eXL1/WpEmTNHnyZC1YsEDStUA8a9YsLVy4UIWFhdq4caM2bNig559/XpL08ccfq3v37qpSpUqJ1n/ChAmqUaOGvv76a12%2BfFkvvfRSiY6XroXVtLQ0l7EASbaAgBKfC3eJh4frryjf7PayngFu5aGHXH9F%2BfXfn9n3CsOfvwEBstlsxTp%2B3759GjJkiOG2cePGSZJ8fX2dYz4%2BPpJk%2BDrNy5cvq02bNho8eLD%2B8Ic/6Pvvv9eYMWPk7u6ukSNHKisry3n8dd7e3srOzi7WXKVSenujr776Snl5eXr55Zfl5uamOnXqaNy4cYqOjnYGTV9fXw0dOlRubm5q3769rl69qhEjRsjHx0cPP/ywbDabkpOTbxs0v/zyS3l5eWnMmDFyc3NTw4YNtXTpUvn6%2Bsrf31%2BffPKJ6tevr4sXLyo1NVX33Xefzp07Z3iulStX6oUXXtBD//0fTf/%2B/bVmzRpt2LBBPXv21L/%2B9S/94x//kL%2B/vyTp17/%2BtXr27ClJ2rp1qzw9PTVp0iRVqlRJ3t7eev3119WzZ0/nXyBPT0/16dNH7u7XiuN%2B/fpp/fr1ev7555Wfn69PPvlEc%2BfOLdFaJycna/fu3dqyZYuqVKmiKlWqaOzYsRozZkyJzrN69WrNmzfPZWzsmDGKio4u0XlQBu67r6xngOLYs6esZ4Di%2BOtfy3oGuB03tzJ7aisudRv%2B/B07VlFRUcU6Pjw8XIcPHzbcdvDgQc2ZM0c5OTny8/OTJOclc6NS67HHHtNjjz3m/PqRRx7R0KFDtWnTJo0cOVI%2BPj7Kzc11OSY3N9d57uIolaCZnJysjIwMl5DocDiUn5%2Bv9PR0SZK/v7/c/vuX5XrwqlatmnN/d3d3Z1V7K2lpaapTp47zXJL04IMPSrr2WoPly5dr48aN8vX1VZMmTZSZmXnTF60mJydr9uzZLi%2BSLSgoUPPmzXXmzBlJUv369Z3bGjRo4Px9enq66tatq0qVKjnHru%2BbnJws6dq/UK5/r5LUp08f/eEPf9DBgwd1%2BvRpVa1a9bbB%2Bqeuh%2Ba6des6xxo2bFiic0hSZGSkOnfu7DIWIEmpqSU%2BF%2B4SD49rITMjQyooKOvZ4HaeeKKsZ4BbeeihayFz4ECpBJcBAbMMf/6W0tXERo0aydPTU4mJiWrRooUk6ejRo85L3j/1%2Beef6/z58/rlL3/pHMvLy5O3t7ckKTg4WEeOHFFERIQkKT8/XydOnHC5nH47pRI0a9eurYYNG2rz5s3OsczMTKWnp%2Bu%2B/7YvbqX0L5LatWvrzJkzcjgcznN%2B/vnnyszMVGpqqnbs2KGNGzeqZs2akuR8DenNzhUdHe1sKaVrrzX19/d3Jvjk5GQ1atTI%2Bfvr6tWrp5SUFF29etUZNk%2BdOiXp2l%2BYY8eOFfmea9asqY4dO%2BrTTz/V6dOn1a9fvxKvS%2B3atSVJSUlJCgoKkiSX130Wl81mK1rTJydLFfRmqf8pBQX8OVUE99jlvnvWoUP8WeGmrGg0DX/%2BlhIfHx/16NFDsbGxmjNnjiQpNjZWTz31lDM83sjhcGjmzJl64IEH1LZtW%2B3du1fLly/XlClTJEnPPPOM5s6dq44dO6pRo0Z65513VLNmzRLdnHzH76NZuXJl540vERERysrK0vvvv6%2B8vDxdunRJr776qiZMmFBqAfO6Tp06qaCgQAsXLlReXp5OnTqlt956S1euXFFmZqY8PDzk6empgoIC/f3vf9f27dudd5p7eXlJknPeAwYM0IIFC3T06FFJ0vbt29WzZ0/t2rVLNptNERER%2Bv3vf6%2BLFy/q4sWL%2Bt3vfuecx%2BOPPy7p2h9gbm6u0tLSNGPGDLVt21b16tW76fyfeeYZ/fOf/9S///1vPf300yX%2B/uvWrav27dtr5syZunjxotLS0opU8AAAwLzyeDPQ7UybNk2BgYHq1auXnnjiCdWvX9/lhuuePXtq4cKFkqRu3bppypQpeuONN2S32/XKK68oKipKffr0kXTtJYXDhg3TmDFj1LZtWx08eFCLFi2Sp6dnsedzx41m37599cYbb%2Bi7777TX//6Vy1btkyzZs3S%2B%2B%2B/r8LCQoWHhztviilN1apV05IlSzRz5kwtXbpUPj4%2BevbZZxUZGakLFy7ohx9%2BUEREhLy8vNS0aVMNHDhQO3fulCSFhISoVatW6tChg%2BbMmaNhw4bJ4XBo9OjRSk1NVa1atTR16lR16dJFkjRjxgxNnTpVnTp1Uo0aNdS3b199%2BeWX8vT0VNWqVbV06VLNmjXLGTq7dOmiyZMn33L%2BnTp10rRp0/TII4%2BoTp06d7QGb7/9tt58801FRESoSpUq6tevn/bt23dH5wIAAPeOKlWqKCYmRjExMYbbP/30U5evf/nLX7pcOr%2BRm5ubhg8fruHDh9/xfNwcJXnXzf8xO3bsUKtWrZx18%2BHDh9W3b1/t3bvX2Y7eiaefflqjRo3Sk08%2BWVpTLR03vDQA5ZCnp2SzXXsdLZfOy78bXt%2BNcshuv3bDVsuWXDqvCMooqvz3CnKpmjmz9M9ZnvFZ57cwe/ZsLViwQAUFBcrMzNSCBQvUrl27Ow6Zx48f16pVq5SWlqauXbuW8mwBAADKl3L3hnzh4eHON3o38umnn7rccW2lt99%2BW9OnT1fbtm3l7u6uDh06uLxOs6Ref/11HT16VLNmzVLlypWd4/369dPx48dvetzixYv5VCAAAO6yu/GayntduQuaJflYI6sFBwfrL3/5S6md74MPPjAcX7duXak9BwAAKB0ETfO4dA4AAABLlLtGEwAAoDyg0TSPRhMAAACWoNEEAAAwQKNpHkETAADAAEHTPC6dAwAAwBI0mgAAAAZoNM2j0QQAAIAlaDQBAAAM0GiaR9AEAAAwQNA0j0vnAAAAsASNJgAAgAEaTfNoNAEAAGAJGk0AAAADNJrmETQBAAAMEDTN49I5AAAALEGjCQAAYIBG0zwaTQAAAFiCRhMAAMAAjaZ5BE0AAAADBE3zuHQOAAAAS9BoAgAAGKDRNI%2BgCQAAYICgaR6XzgEAAGAJGk0AAAADNJrm0WgCAADAEjSaAAAABmg0zSNoAgAAGCBomselcwAAAFiCRhMAAMAAjaZ5NJoAAACwBI0mAACAARpN8wiaAAAABgia5nHpHAAAAJag0QQAADBAo2kejSYAAAAsQaMJAABggEbTPIImAACAAYKmeVw6BwAAgCVoNAEAAAxUxEYzOztbMTEx%2BuKLL1RQUKAuXbpo2rRp8vPzK7Lv1KlTtXHjRpex3NxctWvXTkuWLFFhYaFatWolh8MhNzc35z47duyQr69vseZDowkAAHCPiImJ0ZkzZ7RlyxZ99tlnOnPmjGJjYw33/e1vf6uEhATnY%2B7cuapWrZp%2B9atfSZISExOVn5%2Bv%2BPh4l/2KGzIlgiYAAIChwsLSf1gpJydHGzduVHR0tPz9/XX//fdr0qRJWrdunXJycm55bEZGhiZNmqTXXntNwcHBkqT9%2B/erSZMmqly58h3PiUvnAAAABqwIhqmpqUpLS3MZCwgIkM1mK9bxubm5OnfunOG2nJwc5efnKyQkxDkWFBSk3NxcnThxQj/72c9uet7Y2Fg1b95cvXv3do7t379fV65c0TPPPKPk5GQFBQVp4sSJatmyZbHmKhE0AQAA7prVq1dr3rx5LmNjx45VVFRUsY7ft2%2BfhgwZYrht3LhxkuRyadvHx0eSlJWVddNzJiUlacOGDfroo49cxr29vfXII49o3Lhxql69ulauXKkRI0Zow4YNatCgQbHmS9AEAAAwYEWjGRkZqc6dO7uMBQQEFPv48PBwHT582HDbwYMHNWfOHOXk5Dhv/rl%2BybxKlSo3PefatWtlt9uLNJ7XX6t53YgRI7Ru3Tpt27ZNgwYNKtZ8CZoAAAB3ic1mK/Zl8pJq1KiRPD09lZiYqBYtWkiSjh49Kk9PTwUGBt70uM8%2B%2B0zDhw8vMv7OO%2B%2Boe/fuatq0qXMsLy9PXl5exZ4TNwMBAAAYqGg3A/n4%2BKhHjx6KjY1VRkaGMjIyFBsbq6eeekre3t6Gx/z44486evSoWrduXWTbDz/8oBkzZigtLU15eXmaN2%2BeMjMz1a1bt2LPiaAJAABgoKIFTUmaNm2aAgMD1atXLz3xxBOqX7%2B%2Bpk6d6tzes2dPLVy40Pn16dOnJUm1atUqcq6ZM2eqYcOG6tOnj8LDwxUfH6%2BlS5fK39%2B/2PNxczgcDhPfD%2B4lycllPQPciqenZLNJqalSfn5Zzwa3U79%2BWc8At2K3S3v2SC1bSgkJZT0b3E4ZRZXHHiv9c%2B7YUfrnLM94jSYAAICBivjJQOUNl84BAABgCRpNAAAAAzSa5hE0AQAADBA0zePSOQAAACxBowkAAGCARtM8Gk0AAABYgkYTAADAAI2meQRNAAAAAwRN87h0DgAAAEvQaAIAABig0TSPRhMAAACWoNEEAAAwQKNpHkETAADAAEHTPC6dAwAAwBI0mgAAAAZoNM0jaAIAABggaJrHpXMAAABYgkYTAADAAI2meTSaAAAAsASNJgAAgAEaTfMImgAAAAYImuZx6RwAAACWoNEEAAAwQKNpHo0mAAAALEGjCQAAYIBG0zyCJgAAgAGCpnlcOgcAAIAlaDQBAAAM0GiaR6MJAAAAS9BoAgAAGKDRNI%2BgCQAAYICgaR6XzgEAAGAJGk0AAAADNJrm0WgCAADAEjSaAAAABmg0zSNoAgAAGCBomselcwAAAFiCRhMAAMAAjaZ5NJoAAACwBI0mAACAARpN8wiaAAAABgia5nHpHAAAAJYgaAIAABgoLCz9x92Sk5OjyMhIrVu37pb77du3T7/4xS9kt9vVuXNnffTRRy7b169fr27duik0NFT9%2BvVTQkJCieZB0AQAALiHHDlyRM8%2B%2B6z27t17y/0uXryo559/Xn379tWuXbs0Y8YMzZw5U//5z38kSXFxcYqJidGsWbO0a9cu9e7dWy%2B99JJycnKKPReCJgAAgIGK2Gh%2B8803Gjp0qJ5%2B%2BmnVrVv3lvt%2B9tln8vf317PPPisPDw89%2Buij6tWrl1auXClJ%2Buijj9SzZ0%2B1atVKnp6eGjZsmGrUqKFNmzYVez7cDAQAAGDAimCYmpqqtLQ0l7GAgADZbLZiHZ%2Bbm6tz584ZbgsICNBDDz2kL7/8Ul5eXlq6dOktz3XkyBGFhIS4jDVu3Fhr1qyRJCUmJuqZZ54psv3QoUPFmqtE0MSN6tUr6xngFlJTU7V67lxFRkbKxp9V%2BedwlPUMcAvO/542by72D3j877HiP%2BO5c1dr3rx5LmNjx45VVFRUsY7ft2%2BfhgwZYrjtvffeU9euXYs9l6ysLPn4%2BLiMeXt7Kzs7u1jbi4OgCVQQaWlpmjdvnjp37swPRsAk/ntCWYmMjFTnzp1dxgICAop9fHh4uA4fPlwqc/Hx8dHly5ddxnJzc%2BXn5%2BfcnpubW2R7jRo1iv0cBE0AAIC7xGazlZt/3ISEhGjHjh0uY4mJiQoODpYkBQcH68iRI0W2d%2BzYsdjPwc1AAAAA/4O6deum8%2BfPa9myZcrPz9fOnTu1ceNG5%2Bsy%2B/fvr40bN2rnzp3Kz8/XsmXLlJ6erm7duhX7OQiaAAAA/yN69uyphQsXSpJq1KihP//5z9q8ebPCw8P1m//f3t3HVFn/fxx/HeVGUsDwhnPAu3RzNDENwoxQCUZz6bwBs6WWipvOlbNmW7cbbdmcuWKkzm9o0RTTUpckUG0SzSRvYbMixDZKkfsBatykIuf3xy/5/Zj5q%2B/vy%2BFzznU9H39%2BrrP5%2BueaLz6f63pfb7yhN954Q9OnT5ckPfLII8rIyNCbb76padOmqaCgQDt37tTQoUP/8b/ncLt5Yh3wBY2Njfr000//%2B2UgLzl2AXwV9xPQPyiaAAAA8AiOzgEAAOARFE0AAAB4BEUTAAAAHkHRBAAAgEdQNAEAAOARFE0AAAB4BEUTAAAAHkHRBAAAgEdQNAEAAOARFE0AAAB4BEUTAAAAHuFnOgCAOyUlJcnhcPyfvykqKuqnNIBvi4qK%2Btv7qaKiop/SAPZC0QS80Lp16yRJ5eXlKioq0sqVKzVmzBjV1dUpJydHycnJhhMCvmP37t2SpJKSEh07dkzPP/98z/20fft2Pfroo4YTAtblcLvdbtMhAPy1efPmKTMzUxMmTOhZu3jxolavXq2vv/7aYDLA96SkpCg3N1fh4eE9a01NTXryySf17bffmgsGWBjPaAJerLq6WmPGjOm1Fh4ersbGRkOJAN/V0tKikJCQXmuBgYH6/fffDSUCrI%2BiCXix6Ohobd68WTdu3JAkdXZ26q233lJsbKzhZIDviYuL08svv6zq6mrdvHlTVVVVeumllzRr1izT0QDL4ugc8GJVVVVas2aN6urqdO%2B996q1tVX33XefsrOz5XK5TMcDfEpTU5NeeOEFlZaW9rwcFB8fr8zMzDt2OgH0DYom4OW6urpUVlamxsZGOZ1OxcTEaMAADiOA/6/a2lo1NDTI6XTyBxvgYRRNwAvV19fL6XSqtrb2rr%2BJiIjox0SA7yotLVVsbKzOnDlz19/ExcX1YyLAPiiagBeKiYlRWVnZX87/c7vdcjgczP0D/qH/fT/9Fe4nwHMompHMN/4AAAw7SURBVIAXqqurk8vlUk1NzV1/ExkZKel/dj8B/Odu734C6BsUTcDH3d6tAfCf434C%2BhZvFAA%2Bjr8Vgb7D/QT0LYom4OP%2B7hvOAP457iegb1E0AQAA4BEUTQAAAHgERRMAAAAeQdEEAACAR1A0AR8XEBBgOgLgEzo6Ov72N%2BPGjfN8EMBGmKMJeLmzZ8%2BqpqbmjrErCxYsMJQI8E0PPvigZs%2BerbS0ND300EOm4wC2QNEEvFhGRoYOHjyokSNH9hq74nA4VFRUZDAZ4Ht%2B/PFH5eXlKT8/XyEhIUpNTdXChQsVHh5uOhpgWRRNwIvFxcUpJydH0dHRpqMAltHV1aVvvvlGhYWFOnHihB544AGlpaUpOTlZ/v7%2BpuMBlsIzmoAXCw4O1sSJE03HACzFz89PY8aM0ahRozR06FBVVFQoOztbSUlJ%2Bu6770zHAyyFHU3Aix04cECnT5/WqlWrFBIS0utaRESEoVSAb2poaNCRI0eUl5enX3/9VbNmzVJqaqoSExM1cOBA7d%2B/X1u3blVJSYnpqIBl%2BJkOAODurl%2B/rsLCQuXn5/esud1uORwOVVRUGEwG%2BJ7HHntMEyZM0MKFCzV//nwNGzas1/Xp06eroKDAUDrAmtjRBLxYfHy81q1bp4SEBA0Y0PtJl8jISEOpAN/0wQcfaMWKFQoMDDQdBbANiibgxR5%2B%2BGGdOnXKdAzAEqZNm6aSkhJe%2BAH6ES8DAV4sNTVVu3fvNh0DsITJkyersLDQdAzAVtjRBLzY0qVLVVpaqsGDBys0NLTXLE3maAL/nrS0NJWXlysgIEDDhw/nfgL6AS8DAV5s0aJFWrRokekYgCUsW7bMdATAdtjRBHxES0uLwsLCTMcAfF5zc7Nqamo0YsQIuVwu03EAS%2BMZTcCLdXV1KTMzU7GxsUpKSlJ1dbXS0tLU1NRkOhrgc9ra2vTcc88pISFBixcvVlJSktLT03Xt2jXT0QDLomgCXmzr1q06efKksrKy5O/vr2HDhsnpdGrjxo2mowE%2B591331V7e7vy8/N17tw55eXlqbu7W1u2bDEdDbAsjs4BL5aUlKR9%2B/YpPDxc06ZN0%2BnTp3Xt2jWlpKQw9gj4NyUmJurQoUO9BrU3NTVp3rx5OnHihMFkgHWxowl4sY6Ojp7nMm//TTho0KA7hrcD%2BHudnZ0KDg7utRYSEqLu7m5DiQDr438rwItNnTpV27Ztk6SeUSx79uzR5MmTTcYCfNKUKVOUlZXV80eb2%2B1WVlYW9xPgQRydA17s0qVLWrFihbq6utTc3KyxY8eqvb1dOTk5Gj9%2BvOl4gE%2BprKzUs88%2Bq4CAAEVGRqqmpkYOh0M5OTmaMGGC6XiAJVE0AS/X2dmp4uJi1dbWyul0KjExUUOGDDEdC/BJV65c0dGjR9XS0qLIyEjNmjWL%2BwnwIIom4MXWrl2rHTt23LG%2BbNky5ebmGkgE%2BK7a2tq/XPf391doaKgCAgL6ORFgfXwZCPAyly9f1uHDhyVJx48f73lG87a2tjZVVlaaiAb4tJSUlLu%2B%2BDNgwADFx8dr8%2BbNfBgB6EPsaAJepru7Wy%2B%2B%2BKJaWlpUWlqq2NjYXtcDAwO1YMECzZ0711BCwDfl5uaquLhYr732mkaPHq3Lly/rnXfeUXR0tB5//HHt2LFDfn5%2BzNUE%2BhBFE/BC9fX1cjqdSk9Pv%2Btw9oiIiH5OBfi2lJQUHThwQEOHDu1Zu3r1qtLS0nT06FG1tbUpOTmZGbVAH%2BLoHPBCTzzxhMrKyvT9998rOTm51zW32y2Hw6GKigpD6QDf1NraqoEDB/Zaczgcam5uliQFBQUxUxPoYxRNwAsVFBRIkoqKigwnAaxjxowZ2rBhg15//XVFRESotrZWW7ZsUUJCgm7cuKHt27dr0qRJpmMClsLROQDAFq5cuaINGzaopKSk5wMIiYmJevvtt3X%2B/Hlt3rxZ7733HjM1gT5E0QQA2EpDQ4Pq6%2BsVERGhESNGmI4DWBqfoAQA2EZLS4u%2B/PJL5efnKygoSMXFxaYjAZZG0QQA2EJ5eblmz56tr776SgcPHlRra6vWr1%2BvQ4cOmY4GWBZFEwBgC5s2bdIrr7yi/fv3y8/PT6NHj9b27dv14Ycfmo4GWBZFEwBgCxcuXND8%2BfMlqedloBkzZqihocFkLMDSKJoAAFsICwtTVVVVr7WqqioNHz7cUCLA%2BiiaAABbWLJkidasWaPPPvtMXV1dKiws1Pr16/XUU0%2BZjgZYFuONAAC2sXfvXn3yySeqqamR0%2BnU4sWLtXLlyp6jdAB9i6IJALCFc%2BfOacqUKXesHzt2TDNnzjSQCLA%2Bjs4BALawcuXKO9ba2tq0fv16A2kAe%2BBb5wAAy7p48aLmzJmjW7duye126/7777/jNzExMQaSAfbA0TkAwNIqKip07do1rV69Wjt37ux1LTAwUBMnTlRQUJChdIC1UTQBALZQXV2t0aNHm44B2ApFEwBgC62trdqzZ48aGhrU3d0tSbp586YuXLigL774wnA6wJp4RhMAYAuvvvqqfvvtN4WFham9vV0ul0vHjx/X0qVLTUcDLIuiCQCwhTNnzqiwsFANDQ3Kzs7Wtm3blJeXp/z8fNPRAMtivBEAwBb8/PwUHh6ucePGqbKyUpI0Z84c/fzzz4aTAdZF0QQA2EJkZKR%2B%2BuknhYSEqL29XS0tLero6NAff/xhOhpgWRydAwBsYcmSJXrmmWdUUFCguXPnavny5fLz81NcXJzpaIBl8dY5AMA2fvjhB0VFRcnhcOjjjz9WW1ub0tPTFRoaajoaYEkcnQMAbOP8%2BfNqbW2Vv7%2B/Ro4cqVGjRlEyAQ%2BiaAIAbOH999/Xjh071NnZKUkaMmSI/vWvf2nXrl2GkwHWxdE5AMAWZs6cqb179/b6OtClS5e0fPlyFRcXG0wGWBc7mgAAW2hra5PL5eq15nK51NHRYSgRYH0UTQCALUyaNEnZ2dm91j766CNFRUUZSgRYH0fnAABbKC8vV3p6uoKCguR0OlVfX6%2Buri7t2rWLsgl4CEUTAGAbV69eVXFxsRobG%2BVyuZSYmKjg4OCe6/X19XI6nQYTAtZC0QQA4E8xMTEqKyszHQOwDJ7RBADgT%2By9AH2LogkAwJ8cDofpCIClUDQBAADgERRNAAAAeARFEwAAAB5B0QQAAIBHUDQBAPhTQECA6QiApTBHEwBgG2fPnlVNTc0dY4wWLFhgKBFgbRRNAIAtZGRk6ODBgxo5cmSvMUYOh0NFRUUGkwHWRdEEANhCXFyccnJyFB0dbToKYBs8owkAsIXg4GBNnDjRdAzAVtjRBADYwoEDB3T69GmtWrVKISEhva5FREQYSgVYm5/pAAAA9Ifr16%2BrsLBQ%2Bfn5PWtut1sOh0MVFRUGkwHWxY4mAMAW4uPjtW7dOiUkJGjAgN5PjkVGRhpKBVgbO5oAAFu4deuWnn76adMxAFvhZSAAgC2kpqZq9%2B7dpmMAtsLROQDAFpYuXarS0lINHjxYoaGhvWZpMkcT8AyKJgDAFj7//PO7Xlu4cGE/JgHsg6IJALCdlpYWhYWFmY4BWB7PaAIAbKGrq0uZmZmKjY1VUlKSqqurlZaWpqamJtPRAMuiaAIAbGHr1q06efKksrKy5O/vr2HDhsnpdGrjxo2mowGWxXgjAIAtHDlyRPv27VN4eLgcDofuuecebdq0SSkpKaajAZbFjiYAwBY6Ojp6nsu8/XrCoEGD7hjeDqDvcHcBAGxh6tSp2rZtmyT1jDbas2ePJk%2BebDIWYGm8dQ4AsIVLly5pxYoV6urqUnNzs8aOHav29nbl5ORo/PjxpuMBlkTRBADYRmdnp4qLi1VbWyun06nExEQNGTLEdCzAsiiaAABbWLt2rXbs2HHH%2BrJly5Sbm2sgEWB9vHUOALCsy5cv6/Dhw5Kk48eP9zyjeVtbW5sqKytNRANsgaIJALCsiIgI/fLLL2ppadGtW7d06tSpXtcDAwOVkZFhKB1gfRydAwAsrb6%2BXk6nU%2Bnp6Xcdzh4REdHPqQB7oGgCACwtJiZGZWVlioqK6hlrdJvb7ZbD4VBFRYWhdIC1UTQBAJZWV1cnl8ulmpqau/4mMjKyHxMB9kHRBAAAgEfwZSAAAAB4BEUTAAAAHkHRBAAAgEdQNAEAAOARFE0AAAB4BEUTAAAAHkHRBAAAgEdQNAEAAOAR/wXhvxmqhTpDNQAAAABJRU5ErkJggg%3D%3D\" class=\"center-img\">\n",
       "    <img src=\"%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJzs3XlcVWXix/HvRZFNDVMQNwaHQDMtr6I4piYuY%2BaaOVLumbaogKYtNpPWuM9QjksumZNpNlkupWXZ2Jg1Tokm%2BrNME9xQUBByYROQ%2B/vD4Y43jgoejmB93q/XfRXPPefw8OjEd77PPffaHA6HQwAAAEAZcyvvCQAAAOCXiaAJAAAASxA0AQAAYAmCJgAAACxB0AQAAIAlCJoAAACwBEETAAAAliBoAgAAwBIETQAAAFiicnlPAMCv24EDB7RmzRp9/fXXOn36tC5evKjbb79dISEh6tixo/r37y9PT8/yniYA4AbY%2BAhKAOVl3rx5WrRokQoLC1W1alUFBgbK3d1daWlpSk5OliTVqVNHr732mu66665yni0AoLQImgDKxdq1a/XCCy/I29tbM2fOVNeuXVWpUiXn84mJiXrhhRe0Z88e1ahRQ5s2bdLtt99ejjMGAJQWr9EEUC4WL14sSXr22Wd1//33u4RMSQoODtaiRYtUs2ZN/fTTT1qxYkV5TBMAYAJBE8BNd/78eR0/flySdM8991z1uNtvv11dunSRJP3f//3fTZkbAKDscDMQgJuucuX//adn69atatKkyVWPjYqK0tChQ1WzZk3n2PPPP6/169dr0qRJat%2B%2BvebMmaOdO3cqLy9Pv/nNb/Tggw/q4YcfloeHh%2BE1d%2B7cqZUrV2r37t06e/asqlevrubNm2vIkCH63e9%2BZ3jO%2BfPn9e6772rbtm1KSEhQZmamvLy8FBgYqIiICA0dOlS33XabyzmNGjWSJG3fvl2zZs3S559/Ljc3N9111136%2B9//rj/96U9av369pk2bplatWmn%2B/Pn65ptvdOHCBdWvX19/%2BMMfNHz4cNlsNn322Wd666239MMPP6iwsFCNGzfWU089pfvuu6/YXHNzc7V27Vpt2bJFBw8e1Pnz51WlShXVrVtX7dq106OPPqratWu7nNOpUyedPHlSmzZtUnp6ut544w3t3btX2dnZql%2B/vrp3767HHntMPj4%2BV/2zAoCf4zWaAMrFI488ot27d8tms6lPnz7q37%2B/WrRoUWwL3UhR0OzXr582b96s7OxshYSEqKCgQIcPH5YktWzZUkuWLFG1atVczo2NjdXSpUslSbfddpvq16%2Bv1NRUpaWlSZJGjhypZ555xuWco0ePavjw4UpJSVHlypUVGBgoLy8vnTx5UmfPnpUkNWzYUGvXrnUJYkVBs0WLFoqPj1doaKgyMjIUHh6uV155xeXn%2BOSTT1RQUKDg4GClp6c75/P444/LZrNpyZIlql69uho0aKAjR44oOztbNptNr7/%2Bujp06OD8nhkZGRo2bJh%2B/PFH2Ww2BQYGqlq1ajp9%2BrTzmjVr1tS6desUEBDgPK8oaD766KNavny5qlSpoqCgIJ07d06nTp2SJNntdq1atapEf0YAIElyAEA5%2BP777x3Nmzd3hIaGOh8tWrRwjBo1yrFkyRLHnj17HJcuXTI897nnnnOeExER4di/f7/zud27dzvatm3rCA0Ndbz44osu5/3jH/9whIaGOsLCwhwffvihc7ywsNDx8ccfO%2Bfz3nvvuZw3ePBgR2hoqGPAgAGO06dPu5y3fv16R%2BPGjR2hoaGOt99%2B2%2BW8ojk2bdrUERcX53A4HI5Lly45fvrpp2I/xyOPPOJITU11HvP88887QkNDHY0bN3Y0atTIsWzZMud6ZGRkOPr27esIDQ11DB482HBtunbt6jhy5IjLc19%2B%2BaXjnnvucYSGhjpmzZrl8lxERIRzLs8//7zj/Pnzzp/x7bffdj73z3/%2B0/DPBACM8BpNAOWiSZMmev/999WyZUvnWGZmprZt26ZXXnlFAwYMULt27TRnzhzl5OQYXsPNzU0LFy7UnXfe6Ryz2%2B2aPXu2JOn999/X6dOnJUl5eXmaP3%2B%2BJGnGjBnq3bu38xybzaYHHnjA2WTOnz9fBQUFkqT09HQdOnRIkjR16lT5%2B/u7nNe3b1%2B1bt1aknTw4EHDeXbv3l2tWrVyztnX19fl%2BcqVK%2BvVV1%2BVn5%2Bf85jHH39cklRYWKg%2BffpoxIgRcnO7/J/sGjVqaOjQoZKk/fv3O69TUFCgXbt2yWazadKkSQoKCnL5Pu3bt9cDDzwgSfrxxx8N59q4cWPNmDHD2QTbbDYNGjTI2c5%2B%2B%2B23hucBgBGCJoByc8cdd%2Bidd97RBx98oLFjx8put8vd3d35fHp6uhYvXqzevXs7t2%2Bv1KZNGzVu3LjYeLt27VS/fn0VFhZq69atkqT4%2BHidOXNGPj4%2B6ty5s%2BF8evfuLTc3N50%2BfdoZ4GrWrKlvvvlGe/fuVWhoaLFzLl26pKpVq0q6/NpII1eGaSONGjVy2caWpHr16jn/3eh1mEWBNzMz0zlWuXJlbdmyRXv37lXHjh2LneNwOOTt7X3NuXbs2FE2m63Y%2BG9/%2B1tJ0oULF675swDAlbgZCEC5u/POO3XnnXcqKipKOTk52r17t/7973/rww8/VHp6uo4fP66YmBitXr3a5by77777qtds1KiRTpw4oaNHj0qSs5XMz8/XoEGDrnpepUqVVFhYqMOHD7tc39PTUykpKdq7d6%2BOHz%2BupKQkJSYm6ocfflB2draky%2B2jkaKm8mrq1KlTbKxKlSrOf69Ro0ax56%2B8oernPDw8lJ6erj179ujo0aM6ceKEDh8%2BrB9%2B%2BEHnzp275lyvbGyvVPTpTJcuXbr6DwIAP0PQBFCheHl56d5779W9996rmJgYvfDCC/r444%2B1Z88eff/99y6fEPTzu7yvVNTcnT9/XtL/mri8vDzt3r37uvMoOk%2BSDh8%2BrL/85S/atm2bS0CrWrWqwsLClJqaqgMHDlz1Wtf7CE0vL69rPl%2B0ZV4SaWlpmj17tj799FPl5%2Be7fI9mzZrp0qVL19z%2BvjLgGnFw/yiAUiBoArjpJk%2BerG%2B%2B%2BUYPPvignnrqqase5%2BnpqT//%2Bc/67LPPlJ%2BfryNHjrgEzaIm0UjRlnLR2yIVhbm77rpL69atK/Fc09PTNXjwYKWnp6tu3boaMGCAmjRpot/%2B9reqX7%2B%2BbDabJkyYcM2gebNcvHhRw4YNU2Jionx9ffXII4%2BoadOmCg4OVmBgoCpVqqQ5c%2BbwOksANw1BE8BNd/HiRR07dkxbtmy5ZtCULreGPj4%2BOnv2bLGPoCzaDjdSFPzuuOMOSZfffki6/FZFBQUFhlvPDodDO3bsUEBAgOrWrasqVapo7dq1Sk9Pl6%2Bvr9auXWv4MZhFNxyVty1btigxMVGVK1fW6tWri90MJMnwta4AYBVuBgJw0xXd8f3dd99dt13897//rbNnz8rX17fYpwh9%2BeWXzveGvNLWrVuVkpKiKlWqqFOnTpKkVq1aqVq1asrKyrrq99y4caOGDRum7t27OwPZiRMnJEl169Y1DJkJCQnas2ePpPJ//WLRXH18fAxD5pkzZ/TFF19IKv%2B5Avh1IGgCuOnuvfdedevWTZL0pz/9SdOnT3eGpCIXL17U2rVrNW7cOElSTExMsU%2Blyc7O1ujRo5WSkuIc27FjhyZNmiTp8pudF71Nj7e3t/Mtg6ZPn661a9e6vN5yy5YtmjJliqTLb0cUGBgo6X93Wx84cECbN292Hu9wOPTll19q5MiRztdCXu1tmG6WormeO3dOb731lsvrKffs2aNHH33U%2BQbz5T1XAL8ObJ0DKBexsbHy9vbWBx98oBUrVmjFihWqW7euatasqYsXL%2Bro0aPKy8uTu7u7JkyYoIEDBxa7RlBQkH744Qd16dJFoaGhys7Odt5l3rNnTz3xxBMux48aNUpJSUl677339MILL%2Bivf/2r6tevr9OnTys1NVXS5U/xmTZtmvOc/v3765133tGxY8cUHR2tevXqqUaNGkpJSVF6errc3d3VunVrxcXFlfsWeqdOnWS32xUfH68ZM2Zo6dKlql27ttLS0nT69GnZbDa1bdtW//nPf5SamiqHw2H4VkYAUFYImgDKRZUqVTRr1iwNGjRImzZt0o4dO3T69GkdOHBAXl5eatiwodq1a6f%2B/fs7m7qfa9asmWJjYzVv3jx9%2B%2B23qly5slq3bq1HHnnE%2BcbkV7LZbJo6daq6deumd999V3v27NEPP/wgDw8PNW/eXD179lRkZKTLnddVq1bVmjVrtHTpUm3dulUnTpzQmTNnFBAQoI4dO2rYsGHy9vZWly5ddODAASUnJ6tu3bqWrdu1VKpUScuXL9fKlSv18ccfKykpST/%2B%2BKP8/Pz0wAMPaNCgQbrrrrsUHh6us2fPavfu3dd9j08AMIPPOgdwyyn6jPBevXopNja2vKcDALgKXqMJAAAASxA0AQAAYAmCJgAAACxB0AQAALjFZGRkqGvXrtqxY8dVj9m2bZt69eql5s2bq3v37tq6davL80uXLlWHDh3UvHlzDRkyRIcPHy7zeRI0AdxyZs2apYMHD3IjEIBfpW%2B//VaRkZE6fvz4VY85evSooqKiFBMTo127dikqKkrjxo1zvg3b%2BvXrtXLlSi1btkw7duzQXXfdpejoaJX1PeIETQAAgFvE%2BvXrNXHiRI0fP/66x4WFhalLly6qXLmyHnjgAbVq1UqrV6%2BWJL333nsaOHCgQkJC5OHhoQkTJig5OfmaDemNIGgCAADcJKmpqfr%2B%2B%2B9dHkUfGFES7dq10z//%2BU/D9wq%2BUkJCgkJDQ13G7rjjDh04cMDweXd3dwUFBTmfLyu8YTv%2Bh08IqdgaNpQOHZJCQqQjR8p7Nriea2xpoQKoVEmqU0dKSZH43PeKr0GD8vm%2BFvxeXD1vnhYsWOAyNnbsWEVFRZXofD8/vxIdl5WVJS8vL5cxT09PZWdnl%2Bj5skLQBG4Vvr6Xfzn6%2Bpb3TIBbn5vb5RDh5kbQxE0VGRmpTp06uYyVNDyWhpeXl3Jzc13GcnNz5ePjU6LnywpBEwAAwIhb2b/C0N/fX/7%2B/mV%2B3Z8LDQ3V999/7zKWkJCgpk2bSpJCQkJ06NAhRURESJLy8/N19OjRYtvtZvEaTQAAgF%2BY3r17Ky4uTps2bVJBQYE2bdqkuLg49enTR5L00EMP6e2339aBAwd08eJFvfLKK6pVq5bCwsLKdB40mgAAAEYsaDStZLfb9fLLL6t3794KDg7Wa6%2B9ptjYWP3xj39UvXr1NH/%2BfDVs2FCS1L9/f124cEFjxoxRRkaGmjVrpiVLlsjd3b1M52RzlPUbJuHWxc1AFZvdLu3eLbVoIcXHl/dscD3cDFSxubtLAQHSqVNSfn55zwbXU143A3l4lP01L14s%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%2B%2B98vb2dj5fo0YN/etf/yrT%2BRI0AQAAjFTARnPcuHGqXbu2vvrqK505c0ZPPfWUli9frpEjR7oc98Ybb7h8vWbNGi1YsEBjx46VJO3bt0/16tUr82D5cxVvBQEAAFDMsWPHFBcXp2eeeUZeXl5q0KCBRo8erVWrVl3zvMOHD2vq1KmKjY2Vv7%2B/pMtBs2nTppbPmUYTAADAiAWNZmpqqtLS0lzG/Pz8nAHwWg4dOiRfX1/Vrl3bORYcHKzk5GSdP39e1atXNzzv5ZdfVt%2B%2BfRUWFuYc27dvn86dO6eePXvqzJkzatasmZ577jndcccdN/iTGSNoAgAAGLEgaK5evVoLFixwGRs7dqyioqKue25WVpa8vLxcxoq%2Bzs7ONgyau3bt0t69exUbG%2BsyXr16dd1xxx0aNWqUqlSporlz5%2BrRRx/Vpk2bVK1atdL%2BWFdF0AQAALhJIiMj1alTJ5cxPz%2B/Ep3r7e2tnJwcl7Gir318fAzPWb16tbp3717se7zyyisuX0%2BaNElr167Vrl27FBERUaL5lARBEwAAwIgFjaa/v3%2BJtsmNhISE6OzZszpz5oxq1aolSUpMTFRAQIBhC1lQUKDPP/9cr732mst4ZmamXnvtNQ0ePFj16tWTJF26dEkFBQXy9PS8obldDTcDAQAA3AKCgoLUsmVLzZgxQ5mZmUpKStLChQvVv39/w%2BMPHjyoixcvqkWLFi7jVatW1X/%2B8x/Nnj1bFy5cUFZWlqZOnar69eu7vI6zLBA0AQAAjLi5lf3DpHnz5qmgoECdO3fWgAED1L59e40ePVqSZLfbtWHDBuexSUlJuu222%2BTh4VHsOgsXLlRhYaG6dOmi9u3bKy0tTUuXLpW7u7vpOV7J5nA4HGV6Rdy6bLbyngGuxW6Xdu%2BWWrSQ4uPLeza4nuPHy3sGuBZ3dykgQDp1SsrPL%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%2BU6xyMrFu3Tp06dbrJswIAADdbenq6Ro8erbCwMIWHh2v69OkqKCgwPHbkyJFq1qyZ7Ha78/Hll19KulyezZ49W23btpXdbtdTTz2l1NTUMp8vQfM66tatq/j4eNWtW1c//fRTuc8BAADcJG5uZf8wady4cfL29tZXX32lNWvW6Ouvv9by5csNj/3uu%2B%2B0bNkyxcfHOx8dOnSQJC1atEjbt2/X2rVr9dVXX8nT01N/%2BtOfTM/v5wia13HixAk1atRIw4cP165du7RkyRI9%2BeSTkqTjx4/rySefVHh4uCIiIjRnzhzl5eVJutwyDhw4ULNnz1br1q3Vpk0brVy5Uu%2B9954iIiLUsmVLTZ48uVRzOHHihCQpMTFRQ4YMkd1uV69evbR//35rfngAAFBhHDt2THFxcXrmmWfk5eWlBg0aaPTo0Vq1alWxY5OSknTu3Dk1adLE8Frvv/%2B%2BRo0apTp16qhq1ar64x//qC%2B//FJJSUllOmdeo1lC06ZN06RJk9S6dWtFRUUpOztbw4cPV48ePTR37lxlZGQoOjpahYWFmjBhgiTp22%2B/1e9//3t98803evfddzVt2jR1795dmzZtUkJCgiIjI9WrVy%2B1atWqxPPIz8/XE088oQ4dOuiNN97Q8ePHNWrUKLmV8v8lpaamKi0tzWXMr2FD%2Bfv6luo6uIkaN3b9Jyo2d/fyngGupXJl13%2Bi4srPL7/vbcFrNA1///r5yd/f/7rnHjp0SL6%2Bvqpdu7ZzLDg4WMnJyTp//ryqV6/uHN%2B3b598fHw0fvx47du3T7Vq1dLw4cPVv39/XbhwQadOnVJoaKjz%2BFq1aum2227TwYMHy/ReFP4XdoO%2B%2BOIL5eXl6emnn5bNZlOdOnUUExOj6OhoZ9D09vbWsGHDZLPZ1K5dO126dEmPPfaYvLy81KxZM/n7%2B%2BvkyZOlCprx8fFKSUnRs88%2BKw8PD4WEhOjRRx/VW2%2B9Var5r169WgsWLHAZGxsTo6iYmFJdB%2BXgnXfKewbAL0etWuU9A1xPGTdspWJB0DT8/Tt2rKKioq57blZWlry8vFzGir7Ozs52CZp5eXlq3ry5xo8fr5CQEO3YsUNRUVHy8fGR3W6XdDmnXMnT01NZWVk39HNdDUHzBp08eVIZGRkuIdHhcCg/P1/p6emSJF9fX9lsNklyNo5X/iVwc3NTYWFhqb7v6dOnVaNGDXl6ejrHAgMDSz3/yMjIYjcQ%2BfXqJZUysOImatz4csgcOFA6cKC8Z4Pr2bSpvGeAa6lc%2BXLIPHNGusqNFIAVDH//%2BvmV6Fxvb2/l5OS4jBV97ePj4zLet29f9e3b1/l1u3bt1LdvX33yySdq27aty7lFcnNzi13HLILmDQoICFBgYKA%2B/fRT51hmZqbS09N1%2B%2B23S5IzZJalOnXqKCMjQ1lZWc6/DKdOnSr1dfz9/YvX9EeOlMUUYbUDB6T4%2BPKeBa6nPLf7UHIFBfxZ4eosaDQNf/%2BWUEhIiM6ePaszZ86o1n/b%2BMTERAUEBKhatWoux65Zs0Y%2BPj7q3r27cywvL08eHh667bbbVLt2bSUkJDi3z9PS0nT27FmX7fSywM1ApVClShVduHBBkhQREaGsrCy98cYbysvL0/nz5/Xcc89p/PjxlgTMIna7XQ0bNtS0adOUk5OjY8eO6e9//7tl3w8AAFQMQUFBatmypWbMmKHMzEwlJSVp4cKF6t%2B/f7FjMzMzNXXqVO3fv1%2BFhYX64osv9NFHHykyMlKS1K9fPy1atEhJSUnKzMzUjBkz1Lp16xvaJb0WgmYp9O3bV2vXrtXAgQNVtWpVLV%2B%2BXDt27FCHDh3UpUsXubm5adGiRZbOoVKlSnr99deVmpqqtm3bauTIkercubOl3xMAgF%2BlCvj2RvPmzVNBQYE6d%2B6sAQMGqH379ho9erSky2XUhg0bJEnDhg3T4MGDNXbsWNntdsXGxmr27NkKCwuTJI0ZM0b33XefBg0apPvuu08XL17U3/72N9Pz%2Bzmbw%2BFwlPlVcWuysIlFGbDbpd27pRYt2Dq/FRw/Xt4zwLW4u0sBAdKpU2yd3wrK6xP5Zs4s%2B2tOmlT216zAaDQBAABgCW4GqgDCw8Odb/Ru5OOPP%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%2B8c//qHly5crNTVV/v7%2BGjp0qAYNGiRJKiwsVMuWLeVwOGSz2ZznbN%2B%2BXd7e3mU2X4ImAACAkQrYaI4bN061a9fWV199pTNnzuipp57S8uXLNXLkSJfjtmzZoldffVVLly7VPffcoz179ujxxx9XrVq11K1bNyUkJCg/P1%2B7d%2B9WlSpVLJtvxVtBAAAAFHPs2DHFxcXpmWeekZeXlxo0aKDRo0dr1apVxY49ffq0Ro0apebNm8tms8lutys8PFw7d%2B6UJO3bt0%2BNGjWyNGRKNJoAAADGLGg0U1NTlZaW5jLm5%2Bcnf3//65576NAh%2Bfr6qnbt2s6x4OBgJScn6/z586pevbpzvGiLvEh6erp27typSZMmSbocNC9evKiHHnpIJ0%2BeVHBwsCZMmKAWLVqY%2BfGKIWgCAAAYsSBorl69WgsWLHAZGzt2rKKioq57blZWlry8vFzGir7Ozs52CZpXSktL0xNPPKGmTZuqZ8%2BekiRPT0/dfffdiomJ0W233aZVq1bpscce04YNG9SgQYMb%2BdEMETQBAABuksjISHXq1MllzM/Pr0Tnent7Kycnx2Ws6GsfHx/Dc/bs2aOYmBiFhYVp5syZzpuGnn/%2BeZfjHnvsMa1bt07btm3T4MGDSzSfkiBoAgAAGLGg0fT39y/RNrmRkJAQnT17VmfOnFGtWrUkSYmJiQoICFC1atWKHb9mzRpNmzZN0dHRGjFihMtzc%2BbMUbdu3dSkSRPnWF5enjw8PG5oblfDzUAAAAC3gKCgILVs2VIzZsxQZmamkpKStHDhQvXv37/YsZs3b9ZLL72k%2BfPnFwuZkvTjjz9q%2BvTpSktLU15enhYsWKDMzEx17dq1TOdM0AQAADDi5lb2D5PmzZungoICde7cWQMGDFD79u01evRoSZLdbteGDRskSQsWLNClS5cUHR0tu93ufEyePFmSNHPmTAUGBqpPnz4KDw9XXFyc3nzzTfn6%2Bpqe45VsDofDUaZXxK0C2/8iAAAgAElEQVTrijdsRQVkt0u7d0stWkjx8eU9G1zP8ePlPQNci7u7FBAgnTol5eeX92xwPWV4c0qpfP112V/zd78r%2B2tWYDSaAAAAsAQ3AwEAABipgJ8MdKshaAIAABghaJrGCgIAAMASNJoAAABGaDRNYwUBAABgCRpNAAAAIzSaphE0AQAAjBA0TWMFAQAAYAkaTQAAACM0mqaxggAAALAEjSYAAIARGk3TCJoAAABGCJqmsYIAAACwBI0mAACAERpN01hBAAAAWIJGEwAAwAiNpmkETQAAACMETdNYQQAAAFiCRhMAAMAIjaZprCAAAAAsQaMJAABghEbTNIImAACAEYKmaawgAAAALEGjCQAAYIRG0zRWEAAAAJag0QQAADBCo2kaQRMAAMAIQdM0VhAAAACWoNEEAAAwQqNpGisIAAAAS9BoAgAAGKHRNI2gCQAAYISgaRorCAAAAEvQaAIAABih0TSNFQQAAIAlaDQBAACM0GiaRtAEAAAwQtA0jRUEAACAJWg0AQAAjNBomsYKAgAAwBI0mgAAAEZoNE0jaAIAABghaJrGCgIAANwi0tPTNXr0aIWFhSk8PFzTp09XQUGB4bHbtm1Tr1691Lx5c3Xv3l1bt251eX7p0qXq0KGDmjdvriFDhujw4cNlPl%2BCJgAAgBE3t7J/mDRu3Dh5e3vrq6%2B%2B0po1a/T1119r%2BfLlxY47evSooqKiFBMTo127dikqKkrjxo3T6dOnJUnr16/XypUrtWzZMu3YsUN33XWXoqOj5XA4TM/xSgRNAACAW8CxY8cUFxenZ555Rl5eXmrQoIFGjx6tVatWFTt2/fr1CgsLU5cuXVS5cmU98MADatWqlVavXi1Jeu%2B99zRw4ECFhITIw8NDEyZMUHJysnbs2FGmc%2BY1mvif48fLewa4Fnf3y//ctEnKzy/fueD6AgPLewa4Frtd2r1beuABKT6%2BvGeD6ynjlq3ELHiNZmpqqtLS0lzG/Pz85O/vf91zDx06JF9fX9WuXds5FhwcrOTkZJ0/f17Vq1d3jickJCg0NNTl/DvuuEMHDhxwPj9q1Cjnc%2B7u7goKCtKBAwfUpk2bG/rZjBA0AQAADDhkK/Nrrl69WgsWLHAZGzt2rKKioq57blZWlry8vFzGir7Ozs52CZpGx3p6eio7O7tEz5cVgiYAAMBNEhkZqU6dOrmM%2Bfn5lehcb29v5eTkuIwVfe3j4%2BMy7uXlpdzcXJex3Nxc53HXe76sEDQBAAAMFBaW/TX9/f1LtE1uJCQkRGfPntWZM2dUq1YtSVJiYqICAgJUrVo1l2NDQ0P1/fffu4wlJCSoadOmzmsdOnRIERERkqT8/HwdPXq02Ha7WdwMBAAAYKCwsOwfZgQFBally5aaMWOGMjMzlZSUpIULF6p///7Fju3du7fi4uK0adMmFRQUaNOmTYqLi1OfPn0kSQ899JDefvttHThwQBcvXtQrr7yiWrVqKSwszNwkf4agCQAAcIuYN2%2BeCgoK1LlzZw0YMEDt27fX6NGjJUl2u10bNmyQdPkmoddee01LlixRq1attHDhQs2fP18NGzaUJPXv31/Dhw/XmDFj1KZNG%2B3fv19LliyRe9GNp2XE5ijrN0zCrSspqbxngGtxd5cCAqRTp7jr/FbAXecVW9Fd5y1acNf5raCcosrFi2V/TQ%2BPsr9mRUajCQAAAEtwMxAAAIABK24G%2BrUhaAIAABggaJrH1jkAAAAsQaMJAABggEbTPBpNAAAAWIJGEwAAwACNpnkETQAAAAMETfPYOgcAAIAlaDQBAAAM0GiaR6MJAAAAS9BoAgAAGKDRNI%2BgCQAAYICgaR5b5wAAALAEjSYAAIABGk3zaDQBAABgCRpNAAAAAzSa5hE0AQAADBA0zWPrHAAAAJag0QQAADBAo2kejSYAAAAsQaMJAABggEbTPIImAACAAYKmeWydAwAAwBI0mgAAAAZoNM2j0QQAAIAlaDQBAAAM0GiaR9AEAAAwQNA0j61zAAAAWIJGEwAAwACNpnk0mgAAALAEjSYAAIABGk3zCJoAAAAGCJrmsXUOAAAAS9BoAgAAGKDRNI9GEwAAAJag0QQAADBAo2keQRMAAMAAQdM8ts4BAABgCRpNAAAAAzSa5hE0AQAADBA0zWPrHAAAAJag0QQAADBAo2keQRMAAOAXIjs7W1OnTtW//vUvFRQUqHPnzpoyZYp8fHwMj9%2B8ebMWLlyopKQk%2Bfr6ql%2B/fho9erTc3C5venfv3l3JycnOryVpzZo1Cg4OLtF8CJoAAAAGbsVGc%2BrUqUpJSdHmzZt16dIljRs3TrGxsZoyZUqxY7/77js9%2B%2Byz%2Btvf/qb77rtPR44c0ahRo%2BTt7a0RI0YoMzNTR44c0eeff6569erd0Hx4jSYAAICBwsKyf1gpJydHGzduVHR0tHx9fVWzZk1NnDhR69atU05OTrHjT548qYcfflgRERFyc3NTcHCwunbtqp07d0q6HER9fX1vOGRKNJoAAAA3TWpqqtLS0lzG/Pz85O/vX6Lzc3Nzdfr0acPncnJylJ%2Bfr9DQUOdYcHCwcnNzdfToUd15550ux3fr1k3dunVzufYXX3yhXr16SZL27dsnLy8vDR48WIcOHVK9evUUFRWliIiIEs1VImgCAAAYsqKBXL16tRYsWOAyNnbsWEVFRZXo/L1792ro0KGGz8XExEiSvL29nWNeXl6SpKysrGteNzMzUzExMfL09NTw4cMlSTabTc2aNdPTTz%2BtunXr6tNPP1VUVJTefvttNW/evETzJWgCAADcJJGRkerUqZPLmJ%2BfX4nPDw8P18GDBw2f279/v%2BbOnaucnBznzT9FW%2BZVq1a96jUPHz6s6Oho1axZUytWrHAeO3LkSJfjevfurY8%2B%2BkibN28maAIAAJhhRaPp7%2B9f4m3y0mrYsKHc3d2VkJCge%2B65R5KUmJgod3d3BQUFGZ6zbds2Pf300xowYIAmTJigypX/Fw2XLVumJk2a6He/%2B51zLC8vTx4eHiWeEzcDAQAAGLjVbgby8vJS9%2B7dFRsbq4yMDGVkZCg2NlY9e/aUp6dnseP37NmjMWPGaNKkSXruuedcQqYkpaSk6OWXX1ZSUpIKCgq0Zs0axcfH68EHHyzxnAiaAAAAvxBTpkxRUFCQevXqpfvvv1/169fX5MmTnc/36NFDixcvliQtXrxYBQUFmj59uux2u/NRtGX%2B7LPPqkOHDho4cKDCwsL07rvv6vXXX9dvfvObEs/H5nA4HGX7I%2BKWlZRU3jPAtbi7SwEB0qlTUn5%2Bec8G1xMYWN4zwLXY7dLu3VKLFlJ8fHnPBtdTTlFl8%2Bayv%2BYVN3n/KtBoAgAAwBLcDAQAAGDgVvxkoIqGoAkAAGCAoGkeW%2BcAAACwBI0mAACAARpN82g0AQAAYAkaTQAAAAM0muYRNAEAAAwQNM1j6xwAAACWoNEEAAAwQKNpHo0mAAAALEGjCQAAYIBG0zyCJgAAgAGCpnlsnQMAAMASNJoAAAAGaDTNo9EEAACAJWg0AQAADNBomkfQBAAAMEDQNI%2BtcwAAAFiCRhMAAMAAjaZ5NJoAAACwBI0mAACAARpN8wiaAAAABgia5rF1DgAAAEvQaAIAABig0TSPRhMAAACWoNEEAAAwQKNpHkETAADAAEHTPLbOAQAAYAkaTQAAAAM0muYRNAEAAAwQNM1j6xwAAACWoNEEAAAwQKNpHo0mAAAALEGjCQAAYIBG0zyCJgAAgAGCpnlsnQMAAMASNJoAAAAGaDTNo9EEAACAJWg0AQAADNBomkfQBAAAMEDQNI%2BtcwAAAFjihoPmpUuXlJSUVJZzuSmOHj1a3lMAAAC3gMLCsn9YLTs7W5MmTVJ4eLhatmypZ599VllZWVc9fsqUKWratKnsdrvzsXr1aufzS5cuVYcOHdS8eXMNGTJEhw8fLtV8ShU0k5OTZbfblZycrPHjx%2BuDDz4o1Tcrb/v371fPnj3Lexo3xG63a9euXYbP7dixQ40aNbrJMwIAABXN1KlTlZKSos2bN%2Buzzz5TSkqKYmNjr3r8vn37NHXqVMXHxzsfkZGRkqT169dr5cqVWrZsmXbs2KG77rpL0dHRcjgcJZ5PqYJm3bp1FR8fr7p16%2Bqnn34qzakVwoULF5Sfn1/e07gh8fHxCgsLK%2B9pAADwq3GrNZo5OTnauHGjoqOj5evrq5o1a2rixIlat26dcnJyih2fl5enH3/8UU2bNjW83nvvvaeBAwcqJCREHh4emjBhgpKTk7Vjx44Sz6lUQfPEiRNq1KiRhg8frl27dmnJkiV68sknJUnHjx/Xk08%2BqfDwcEVERGjOnDnKy8uTJK1bt04DBw7U7Nmz1bp1a7Vp00YrV67Ue%2B%2B9p4iICLVs2VKTJ08u8Ty%2B//57DRkyRHa7Xe3atdPcuXOd6XrNmjXq16%2BfwsPDZbfb9cQTTygjI0NJSUkaNWqUpMvtYHx8vBwOh1asWKFu3bopLCxMAwcO1Hfffef8Pj/99JPGjx%2Bvli1bqnPnzlq5cqWaNGmiEydOSJIOHjyoUaNGqXXr1urQoYNeeuklXbhwwfkz9%2BvXTyNGjFBYWJgWL16sO%2B%2B8U6dOnXJef9%2B%2BfWrevLkyMzOv%2BzM3atTI%2BQebmpqqJ598Ui1atFDnzp21ffv2Eq8dAAAomYoYNHNzc3Xs2LGrPvLz8xUaGuo8Pjg4WLm5uYYvHTxw4IAKCgo0b948tW3bVt26ddPrr7%2Buwv9ONCEhweVa7u7uCgoK0oEDB0o83xu663zatGmaNGmSWrduraioKGVnZ2v48OHq0aOH5s6dq4yMDEVHR6uwsFATJkyQJH377bf6/e9/r2%2B%2B%2BUbvvvuupk2bpu7du2vTpk1KSEhQZGSkevXqpVatWl3ze589e1YjRozQkCFDtGzZMp06dUpDhgxR7dq11aRJE02bNk0rVqzQ3XffrVOnTmnYsGFasWKFxo0bp6VLl2ro0KGKj4%2BXJK1atUpvvvmmFi1apODgYH344Yd69NFH9cknn6hWrVqaOHGibDabPv/8cxUWFmrixIm6dOmSpMshdOjQoerXr5/mz5%2BvCxcuaOLEiXr22We1aNEiSZcD8axZs7R48WIVFhZq48aN2rBhgx5//HFJ0gcffKBu3bqpatWqpVr/8ePHq0aNGvryyy914cIFPfXUU6U6X7ocVtPS0lzG/AoL5e/nV%2Bpr4SapXNn1n6jY7PbyngGupXFj13%2Bi4vrv7%2BxfCsPfv35%2B8vf3L9H5e/fu1dChQw2fi4mJkSR5e3s7x7y8vCTJ8HWaFy5cUOvWrTVkyBC9%2Buqr%2BuGHHzRmzBi5ublp5MiRysrKcp5fxNPTU9nZ2SWaq1RGb2/0xRdfKC8vT08//bRsNpvq1KmjmJgYRUdHO4Omt7e3hg0bJpvNpnbt2unSpUt67LHH5OXlpWbNmsnf318nT568btDcunWrPDw8NGbMGNlsNgUGBurNN9%2BUt7e3fH199dFHH6l%2B/fo6d%2B6cUlNTdfvtt%2Bv06dOG11q1apWeeOIJNf7vf2j69%2B%2BvNWvWaMOGDerRo4f%2B/e9/65NPPpGvr68k6YUXXlCPHj0kSZ9//rnc3d01ceJEVapUSZ6ennrxxRfVo0cP518gd3d39enTR25ul4vjfv36af369Xr88ceVn5%2Bvjz76SPPnzy/VWp88eVK7du3S5s2bVbVqVVWtWlVjx47VmDFjSnWd1atXa8GCBS5jY8eMUVR0dKmug3JQq1Z5zwAlsXt3ec8AJfHOO%2BU9A1yPzVZu39qKrW7D379jxyoqKqpE54eHh%2BvgwYOGz%2B3fv19z585VTk6OfHx8JMm5ZW5Uat1777269957nV/ffffdGjZsmDZt2qSRI0fKy8tLubm5Lufk5uY6r10SZRI0T548qYyMDJeQ6HA4lJ%2Bfr/T0dEmSr6%2BvbP/9y1IUvKpXr%2B483s3NzVnVXktaWprq1KnjvJYk/fa3v5V0%2BbUGK1as0MaNG%2BXt7a1GjRopMzPzqi9aPXnypGbPnu3yItmCggI1bdpUKSkpkqT69es7n2vQoIHz39PT01W3bl1VqlTJOVZ07MmTJyVd/n8oRT%2BrJPXp00evvvqq9u/frxMnTqhatWrXDdY/VxSa69at6xwLDAws1TUkKTIyUp06dXIZ8ysslK7Y2kcFU7ny5ZB55oxUUFDes8H1PPBAec8A19K48eWQOXCgVIptQMAsw9%2B/ZbSb2LBhQ7m7uyshIUH33HOPJCkxMdG55f1zW7Zs0ZkzZ/Twww87x/Ly8uTp6SlJCgkJ0aFDhxQRESFJys/P19GjR12206%2BnTIJmQECAAgMD9emnnzrHMjMzlZ6erttvv12SXIKh2e%2BVkpIih8PhvOaWLVuUmZmp1NRUbd%2B%2BXRs3blSt/7Y%2BRa8hvdq1oqOjnS2ldPm1pr6%2Bvs4Ef/LkSTVs2ND570Xq1aun5ORkXbp0yRk2jx8/LunyX5jDhw8X%2B5lr1aqlDh066OOPP9aJEyfUr1%2B/Uq9LQECAJCkpKUnBwcGS5PK6z5Ly9/cvXtMnJUm36M1SvyoFBfw53Qp%2BYdt9v1gHDvBnhauyotE0/P1bRry8vNS9e3fFxsZq7ty5kqTY2Fj17NnTGR6v5HA4NHPmTP3mN79RmzZttGfPHq1YsUKTJk2SJD300EOaP3%2B%2BOnTooIYNG2rOnDmqVatWqW5OvuH30axSpYrzxpeIiAhlZWXpjTfeUF5ens6fP6/nnntO48ePL7OAWaRjx44qKCjQ4sWLlZeXp%2BPHj2vGjBm6ePGiMjMzVblyZbm7u6ugoEAffvihvvrqK%2Bed5h4eHpLknPeAAQO0aNEiJSYmSpK%2B%2Buor9ejRQzt37pS/v78iIiL017/%2BVefOndO5c%2Bf0l7/8xTmP%2B%2B67T9LlP8Dc3FylpaVp%2BvTpatOmjerVq3fV%2BT/00EP65z//qf/85z968MEHS/3z161bV%2B3atdPMmTN17tw5paWlFavgAQCAeRXxZqDrmTJlioKCgtSrVy/df//9ql%2B/vssN1z169NDixYslSV27dtWkSZP00ksvyW6365lnnlFUVJT69Okj6fJLCocPH64xY8aoTZs22r9/v5YsWSJ3d/cSz%2BeGG82%2BffvqpZde0nfffad33nlHy5cv16xZs/TGG2%2BosLBQ4eHhzptiylL16tW1bNkyzZw5U2%2B%2B%2Baa8vLw0aNAgRUZG6uzZs/rxxx8VEREhDw8PNWnSRAMHDtQ333wjSQoNDVXLli3Vvn17zZ07V8OHD5fD4dDo0aOVmpqq2rVra/LkyercubMkafr06Zo8ebI6duyoGjVqqG/fvtq6davc3d1VrVo1vfnmm5o1a5YzdHbu3FnPPvvsNeffsWNHTZkyRXfffbfq1KlzQ2vwyiuv6OWXX1ZERISqVq2qfv36ae/evTd0LQAA8MtRtWpVTZ06VVOnTjV8/uOPP3b5%2BuGHH3bZOr%2BSzWbTiBEjNGLEiBuej81Rmnfd/JXZvn27WrZs6aybDx48qL59%2B2rPnj3OdvRGPPjggxo1apQeqGiv4boFP%2BnpV8XdXQoIuPw6WrbOK74beO00biK7/fINWy1asHV%2BKyinqPLfHeQyNXNm2V%2BzIuOzzq9h9uzZWrRokQoKCpSZmalFixapbdu2Nxwyjxw5onfffVdpaWnq0qVLGc8WAACgYqlwb8gXHh7ufKN3Ix9//LHLHddWeuWVVzRt2jS1adNGbm5uat%2B%2BvcvrNEvrxRdfVGJiombNmqUqVao4x/v166cjR45c9bylS5fyqUAAANxkN%2BM1lb90FS5oluZjjawWEhKit956q8yu9/bbbxuOr1u3rsy%2BBwAAKBsETfPYOgcAAIAlKlyjCQAAUBHQaJpHowkAAABL0GgCAAAYoNE0j6AJAABggKBpHlvnAAAAsASNJgAAgAEaTfNoNAEAAGAJGk0AAAADNJrmETQBAAAMEDTNY%2BscAAAAlqDRBAAAMECjaR6NJgAAACxBowkAAGCARtM8giYAAIABgqZ5bJ0DAADAEjSaAAAABmg0zaPRBAAAgCVoNAEAAAzQaJpH0AQAADBA0DSPrXMAAABYgkYTAADAAI2meQRNAAAAAwRN89g6BwAAgCVoNAEAAAzQaJpHowkAAABL0GgCAAAYoNE0j6AJAABggKBpHlvnAAAAsASNJgAAgAEaTfNoNAEAAGAJGk0AAAADNJrmETQBAAAMEDTNY%2BscAAAAlqDRBAAAMECjaR6NJgAAACxBowkAAGCARtM8giYAAIABgqZ5bJ0DAADAEjSaAAAABm7FRjM7O1tTp07Vv/71LxUUFKhz586aMmWKfHx8ih07efJkbdy40WUsNzdXbdu21bJly1RYWKiWLVvK4XDIZrM5j9m%2Bfbu8vb1LNB8aTQAAgF%2BIqVOnKiUlRZs3b9Znn32mlJQUxcbGGh775z//WfHx8c7H/PnzVb16dT3//POSpISEBOXn5ysuLs7luJKGTImgCQAAYKiwsOwfVsrJydHGjRsVHR0tX19f1axZUxMnTtS6deuUk5NzzXMzMjI0ceJE/fGPf1RISIgkad%2B%2BfWrUqJGqVKlyw3Ni6xwAAMCAFcEwNTVVaWlpLmN%2Bfn7y9/cv0fm5ubk6ffq04XM5OTnKz89XaGiocyw4OFi5ubk6evSo7rzzzqteNzY2Vk2bNlXv3r2dY/v27dPFixf10EMP6eTJkwoODtaECRPUokWLEs1VImgCAADcNKtXr9aCBQtcxsaOHauoqKgSnb93714NHTrU8LmYmBhJctna9vLykiRlZWVd9ZpJSUnasGGD3n//fZdxT09P3X333YqJidFtt92mVatW6bHHHtOGDRvUoEGDEs2XoAkAAGDAikYzMjJSnTp1chnz8/Mr8fnh4eE6ePCg4XP79%2B/X3LlzlZOT47z5p2jLvGrVqle95tq1a2W324s1nkWv1Szy2GOPad26ddq2bZsGDx5covkSNAEAAG4Sf3//Em%2BTl1bDhg3l7u6uhIQE3XPPPZKkxMREubu7Kygo6KrnffbZZxoxYkSx8Tlz5qhbt25q0qSJcywvL08eHh4lnhM3AwEAABi41W4G8vLyUvfu3RUbG6uMjAxlZGQoNjZWPXv2lKenp%2BE5P/30kxITE9WqVatiz/3444%2BaPn260tLSlJeXpwULFigzM1Ndu3Yt8ZwImgAAAAZutaApSVOmTFFQUJB69eql%2B%2B%2B/X/Xr19fkyZOdz/fo0UOLFy92fn3ixAlJUu3atYtda%2BbMmQoMDFSfPn0UHh6uuLg4vfnmm/L19S3xfGwOh8Nh4ufBL0lSUnnPANfi7i4FBEinTkn5%2BeU9G1xPYGB5zwDXYrdLu3dLLVpI8fHlPRtcTzlFlXvvLftrbt9e9tesyHiNJgAAgIFb8ZOBKhq2zgEAAGAJGk0AAAADNJrmETQBAAAMEDTNY%2BscAAAAlqDRBAAAMECjaR6NJgAAACxBowkAAGCARtM8giYAAIABgqZ5bJ0DAADAEjSaAAAABmg0zaPRBAAAgCVoNAEAAAzQaJpH0AQAADBA0DSPrXMAAABYgkYTAADAAI2meQRNAAAAAwRN89g6BwAAgCVoNAEAAAzQaJpHowkAAABL0GgCAAAYoNE0j6AJAABggKBpHlvnAAAAsASNJgAAgAEaTfNoNAEAAGAJGk0AAAADNJrmETQBAAAMEDTNY%2BscAAAAlqDRBAAAMECjaR6NJgAAACxBowkAAGCARtM8giYAAIABgqZ5bJ0DAADAEjSaAAAABmg0zaPRBAAAgCVoNAEAAAzQaJpH0AQAADBA0DSPrXMAAABYgkYTAADAAI2meTSaAAAAsASNJgAAgAEaTfMImgAAAAYImuaxdQ4AAABLEDQBAAAMFBaW/eNmycnJUWRkpNatW3fN4/bu3as//OEPstvt6tSpk95//32X59evX6%2BuXbuqefPm6tevn%2BLj40s1D4ImAADAL8ihQ4c0aNAg7dmz55rHnTt3To8//rj69u2rnTt3avr06Zo5c6b%2B7//%2BT5K0Y8cOTZ06VbNmzdLOnTvVu3dvPfXUU8rJySnxXAiaAP6/vXuPqbp%2B/Dj%2BOsZFUhFR4HDwliajpV0gtMwLQTQXXVRMV1gqbbWWzpptXTfbsjlrxQwcpiZOsZu0NJGsRTSTRAs2K0OyWYkgl4AyLhbI%2Bf3xS37fM7T4/uLwPufzeT7%2BfL8P8trcZ7zO%2B/35vD8AgIvwxxXNQ4cOacmSJZo3b55cLtfffvbjjz9WWFiYMjIyFBAQoJtuukl33nmndu7cKUnatWuX0tLSlJCQoMDAQC1dulQjRoxQUVFRn/PwMBAAAMBFeKMYNjQ0qLGx0WMsIiJCkZGRffr5c%2BfOqb6%2B/qJzERERiouLU0lJiYKDg5WXl/e3/9aJEycUGxvrMXbllVeqoKBAkvTDDz8oPT291/zx48f7lFWiaOI/jRljOgH%2BRkNDg97JztaiRYsUyf%2BV73O7TSfA3%2Bi5nvbv7/MfeNiPNy7j7Ox3lJOT4zG2fPlyrVixok8/f/ToUT3wwAMXnduwYYNuvfXWPmdpa2tTSEiIx9jgwYPV3t7ep/m%2BoGgCfqKxsVE5OTlKTk7mDyPwL3E9wZRFixYpOTnZYywiIqLPPz9t2jRVVVX1S5aQkBD9/vvvHmPnzp3TkCFDeubPnTvXa37EiBF9/h0UTQAAgAESGRnpM19uYmNjVVpa6jH2ww8/aNKkSZKkSZMm6cSJE73mZ82a1effwcNAAAAANpSamqpffvlF27ZtU2dnp8rKyrR3796e%2BzIXLFigvXv3qqysTJ2dndq2bZuampqUmpra599B0QQAALCJtLQ0bdy4UZI0YsQIbd26Vfv379e0adP03HPP6bnnntONN94oSbrpppu0evVqPf/885o6dar27dunzZs3KywsrM%2B/z%2BF2c8c64A8aGhr0zjvv/O/DQD6y7QL4K64nYGBQNAEAAOAVbJ0DACyW5xkAAA5lSURBVADAKyiaAAAA8AqKJgAAALyCogkAAACvoGgCAADAKyiaAAAA8AqKJgAAALyCogkAAACvoGgCAADAKyiaAAAA8AqKJgAAALwiwHQAAL0lJyfL4XD87WeKi4sHKA3g3%2BLi4v7xeqqsrBygNIC9UDQBH7RixQpJ0rFjx1RcXKxly5Zp7NixOnPmjPLy8pSSkmI4IeA/tm/fLkkqLS3VgQMHtHz58p7racOGDbr55psNJwSsy%2BF2u92mQwC4uLvuuktZWVmaOHFiz9jPP/%2Bshx56SB999JHBZID/SU1NVX5%2BvqKionrGGhsbdc899%2Bizzz4zFwywMO7RBHxYdXW1xo4d6zEWFRWlhoYGQ4kA/9Xc3KzQ0FCPseDgYP3%2B%2B%2B%2BGEgHWR9EEfNjkyZO1bt06/fnnn5Kkjo4OvfDCC0pISDCcDPA/iYmJevLJJ1VdXa3Ozk6dPHlSTzzxhGbPnm06GmBZbJ0DPuzkyZN6%2BOGHdebMGY0YMUItLS264oortGnTJkVHR5uOB/iVxsZGPfbYYyovL%2B95OGj69OnKysrqtdIJoH9QNAEf19XVpYqKCjU0NMjpdCo%2BPl6DBrEZAfx/1dbWqr6%2BXk6nky9sgJdRNAEfVFdXJ6fTqdra2kt%2BxuVyDWAiwH%2BVl5crISFBX3755SU/k5iYOICJAPugaAI%2BKD4%2BXhUVFRc9/8/tdsvhcHDuH9BH/3k9XQzXE%2BA9FE3AB505c0bR0dGqqam55GdiYmIk/d/qJ4B/78LqJ4D%2BQdEE/NyF1RoA/x7XE9C/eKIA8HN8VwT6D9cT0L8omoCf%2B6d3OAPoO64noH9RNAEAAOAVFE0AAAB4BUUTAAAAXkHRBAAAgFdQNAE/FxQUZDoC4Bfa29v/8TPjx4/3fhDARjhHE/BxX331lWpqanoduzJ37lxDiQD/dP3112vOnDlKT0/XDTfcYDoOYAsUTcCHrV69WgUFBYqMjPQ4dsXhcKi4uNhgMsD/fPPNN9qzZ48KCwsVGhqq%2BfPna968eYqKijIdDbAsiibgwxITE5WXl6fJkyebjgJYRldXlz799FMVFRXp0KFDuuaaa5Senq6UlBQFBgaajgdYCvdoAj5s2LBhio2NNR0DsJSAgACNHTtWo0ePVlhYmCorK7Vp0yYlJyfr888/Nx0PsBRWNAEftmvXLh05ckQPPvigQkNDPeZcLpehVIB/qq%2Bv1969e7Vnzx79%2BOOPmj17tubPn6%2BkpCRddtllevvtt5Wdna3S0lLTUQHLCDAdAMCl/fHHHyoqKlJhYWHPmNvtlsPhUGVlpcFkgP%2B55ZZbNHHiRM2bN0933323Ro4c6TF/4403at%2B%2BfYbSAdbEiibgw6ZPn64VK1ZoxowZGjTI806XmJgYQ6kA//T6669r6dKlCg4ONh0FsA2KJuDDpk2bpsOHD5uOAVjC1KlTVVpaygM/wADiYSDAh82fP1/bt283HQOwhClTpqioqMh0DMBWWNEEfFhGRobKy8s1ZMgQDR8%2B3OMsTc7RBP476enpOnbsmIKCgjRq1CiuJ2AA8DAQ4MMWLFigBQsWmI4BWMLixYtNRwBshxVNwE80NzcrPDzcdAzA7zU1NammpkYRERGKjo42HQewNO7RBHxYV1eXsrKylJCQoOTkZFVXVys9PV2NjY2mowF%2Bp7W1VY8%2B%2BqhmzJihhQsXKjk5WZmZmTp79qzpaIBlUTQBH5adna2ysjKtX79egYGBGjlypJxOp9asWWM6GuB3XnnlFbW1tamwsFBHjx7Vnj171N3drZdfftl0NMCy2DoHfFhycrLeeustRUVFaerUqTpy5IjOnj2r1NRUjj0C/ktJSUl67733PA5qb2xs1F133aVDhw4ZTAZYFyuagA9rb2/vuS/zwnfCwYMH9zq8HcA/6%2Bjo0LBhwzzGQkND1d3dbSgRYH38tQJ82HXXXaecnBxJ6jmKZceOHZoyZYrJWIBfuvbaa7V%2B/fqeL21ut1vr16/negK8iK1zwIedOnVKS5cuVVdXl5qamjRu3Di1tbUpLy9PEyZMMB0P8CtVVVV64IEHFBQUpJiYGNXU1MjhcCgvL08TJ040HQ%2BwJIom4OM6OjpUUlKi2tpaOZ1OJSUlaejQoaZjAX7p119/1SeffKLm5mbFxMRo9uzZXE%2BAF1E0AR/2yCOPKDc3t9f44sWLlZ%2BfbyAR4L9qa2svOh4YGKjhw4crKChogBMB1sebgQAfc/r0ae3evVuSdPDgwZ57NC9obW1VVVWViWiAX0tNTb3kgz%2BDBg3S9OnTtW7dOl6MAPQjVjQBH9Pd3a3HH39czc3NKi8vV0JCgsd8cHCw5s6dqzvuuMNQQsA/5efnq6SkRM8884zGjBmj06dP66WXXtLkyZN12223KTc3VwEBAZyrCfQjiibgg%2Brq6uR0OpWZmXnJw9ldLtcApwL8W2pqqnbt2qWwsLCesd9%2B%2B03p6en65JNP1NraqpSUFM6oBfoRW%2BeAD7r99ttVUVGhL774QikpKR5zbrdbDodDlZWVhtIB/qmlpUWXXXaZx5jD4VBTU5MkKSQkhDM1gX5G0QR80L59%2ByRJxcXFhpMA1jFz5kytWrVKzz77rFwul2pra/Xyyy9rxowZ%2BvPPP7VhwwZdffXVpmMClsLWOQDAFn799VetWrVKpaWlPS9ASEpK0osvvqjjx49r3bp1evXVVzlTE%2BhHFE0AgK3U19errq5OLpdLERERpuMAlsYrKAEAttHc3KwPP/xQhYWFCgkJUUlJielIgKVRNAEAtnDs2DHNmTNH%2B/fvV0FBgVpaWrRy5Uq99957pqMBlkXRBADYwtq1a/XUU0/p7bffVkBAgMaMGaMNGzbojTfeMB0NsCyKJgDAFr7//nvdfffdktTzMNDMmTNVX19vMhZgaRRNAIAthIeH6%2BTJkx5jJ0%2Be1KhRowwlAqyPogkAsIX77rtPDz/8sN599111dXWpqKhIK1eu1KJFi0xHAyyL440AALaxc%2BdOvfnmm6qpqZHT6dTChQu1bNmynq10AP2LogkAsIWjR4/q2muv7TV%2B4MABzZo1y0AiwPrYOgcA2MKyZct6jbW2tmrlypUG0gD2wLvOAQCW9fPPPystLU3nz5%2BX2%2B3WVVdd1esz8fHxBpIB9sDWOQDA0iorK3X27Fk99NBD2rx5s8dccHCwYmNjFRISYigdYG0UTQCALVRXV2vMmDGmYwC2QtEEANhCS0uLduzYofr6enV3d0uSOjs79f333%2BuDDz4wnA6wJu7RBADYwtNPP62ffvpJ4eHhamtrU3R0tA4ePKiMjAzT0QDLomgCAGzhyy%2B/VFFRkerr67Vp0ybl5ORoz549KiwsNB0NsCyONwIA2EJAQICioqI0fvx4VVVVSZLS0tL03XffGU4GWBdFEwBgCzExMfr2228VGhqqtrY2NTc3q729XefOnTMdDbAsts4BALZw33336f7779e%2Bfft0xx13aMmSJQoICFBiYqLpaIBl8dQ5AMA2vv76a8XFxcnhcGjbtm1qbW1VZmamhg8fbjoaYElsnQMAbOP48eNqaWlRYGCgIiMjNXr0aEom4EUUTQCALbz22mvKzc1VR0eHJGno0KHauHGjtmzZYjgZYF1snQMAbGHWrFnauXOnx9uBTp06pSVLlqikpMRgMsC6WNEEANhCa2uroqOjPcaio6PV3t5uKBFgfRRNAIAtXH311dq0aZPH2NatWxUXF2coEWB9bJ0DAGzh2LFjyszMVEhIiJxOp%2Brq6tTV1aUtW7ZQNgEvoWgCAGzjt99%2BU0lJiRoaGhQdHa2kpCQNGzasZ76urk5Op9NgQsBaKJoAAPwlPj5eFRUVpmMAlsE9mgAA/IW1F6B/UTQBAPiLw%2BEwHQGwFIomAAAAvIKiCQAAAK%2BgaAIAAMArKJoAAADwCoomAAB/CQoKMh0BsBTO0QQA2MZXX32lmpqaXscYzZ0711AiwNoomgAAW1i9erUKCgoUGRnpcYyRw%2BFQcXGxwWSAdVE0AQC2kJiYqLy8PE2ePNl0FMA2uEcTAGALw4YNU2xsrOkYgK2wogkAsIVdu3bpyJEjevDBBxUaGuox53K5DKUCrC3AdAAAAAbCH3/8oaKiIhUWFvaMud1uORwOVVZWGkwGWBcrmgAAW5g%2BfbpWrFihGTNmaNAgzzvHYmJiDKUCrI0VTQCALZw/f1733nuv6RiArfAwEADAFubPn6/t27ebjgHYClvnAABbyMjIUHl5uYYMGaLhw4d7nKXJOZqAd1A0AQC28P77719ybt68eQOYBLAPiiYAwHaam5sVHh5uOgZgedyjCQCwha6uLmVlZSkhIUHJycmqrq5Wenq6GhsbTUcDLIuiCQCwhezsbJWVlWn9%2BvUKDAzUyJEj5XQ6tWbNGtPRAMvieCMAgC3s3btXb731lqKiouRwOHT55Zdr7dq1Sk1NNR0NsCxWNAEAttDe3t5zX%2BaFxxMGDx7c6/B2AP2HqwsAYAvXXXedcnJyJKnnaKMdO3ZoypQpJmMBlsZT5wAAWzh16pSWLl2qrq4uNTU1ady4cWpra1NeXp4mTJhgOh5gSRRNAIBtdHR0qKSkRLW1tXI6nUpKStLQoUNNxwIsi6IJALCFRx55RLm5ub3GFy9erPz8fAOJAOvjqXMAgGWdPn1au3fvliQdPHiw5x7NC1pbW1VVVWUiGmALFE0AgGW5XC6dOHFCzc3NOn/%2BvA4fPuwxHxwcrNWrVxtKB1gfW%2BcAAEurq6uT0%2BlUZmbmJQ9nd7lcA5wKsAeKJgDA0uLj41VRUaG4uLieY40ucLvdcjgcqqysNJQOsDaKJgDA0s6cOaPo6GjV1NRc8jMxMTEDmAiwD4omAAAAvII3AwEAAMArKJoAAADwCoomAAAAvIKiCQAAAK%2BgaAIAAMArKJoAAADwCoomAAAAvIKiCQAAAK/4H5xj4K3/CjQHAAAAAElFTkSuQmCC\" class=\"center-img\">\n",
       "</div>\n",
       "    <div class=\"row headerrow highlight\">\n",
       "        <h1>Sample</h1>\n",
       "    </div>\n",
       "    <div class=\"row variablerow\">\n",
       "    <div class=\"col-md-12\" style=\"overflow:scroll; width: 100%%; overflow-y: hidden;\">\n",
       "        <table border=\"1\" class=\"dataframe sample\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>item_name</th>\n",
       "      <th>item_id</th>\n",
       "      <th>item_category_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>! ВО ВЛАСТИ НАВАЖДЕНИЯ (ПЛАСТ.)         D</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>!ABBYY FineReader 12 Professional Edition Full...</td>\n",
       "      <td>1</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>***В ЛУЧАХ СЛАВЫ   (UNV)                    D</td>\n",
       "      <td>2</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>***ГОЛУБАЯ ВОЛНА  (Univ)                      D</td>\n",
       "      <td>3</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>***КОРОБКА (СТЕКЛО)                       D</td>\n",
       "      <td>4</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "    </div>\n",
       "</div>\n",
       "</div>"
      ],
      "text/plain": [
       "<pandas_profiling.ProfileReport at 0x270891a6e48>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ppf.ProfileReport(item1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
